Podcasts about azure ai studio

Send us a textUnlock the secrets to a seamless cloud experience as we explore the groundbreaking Direct Connect integration with AWS Cloud WAN. Discover how this innovation not only eliminates the need for a Transit Gateway but also simplifies networking between on-premises and cloud environments, reducing operational complexities and costs. Our guest host, Will Collins of  @TheCloudGambit, lends his expertise to dissect the intricacies of network engineering, giving us a glimpse into the streamlined future of hybrid cloud architecture.The episode takes an intriguing turn as we dive into Microsoft's recent strides in AI and hardware. Witness the transformation of Azure AI Studio into Azure AI Foundry, a strategic move to unify AI services and enhance their integration with platforms like GitHub and Visual Studio. We also ponder the implications of Microsoft's Windows 365 Link, a device poised to redefine enterprise applications with its cloud-based Windows 11 streaming capabilities. From the expanding landscape of AI development platforms to Microsoft's hardware ventures, we assess how these innovations could reshape industries. Join us for this insightful journey through the evolving world of cloud technology.Check out the Fortnightly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on Twitter: https://twitter.com/cables2cloudsFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

Dell Technologies has announced new AI innovations to help Dell and Microsoft customers simplify AI adoption, accelerate deployment, and manage demanding workloads in multicloud environments. These advancements also aim to strengthen cybersecurity and data protection for joint customers. Accelerating AI adoption and performance Dell's new AI offerings include the expansion of the Dell AI Factory with solutions developed in collaboration with Microsoft. One notable addition is the Dell APEX file storage for Microsoft Azure; a Dell-managed service designed for superior AI workload performance, scalability and data services. This service promises easier deployment and management, making it ideal for multicloud environments. Additionally, Dell has introduced several services to aid organisations in adopting AI and creating custom AI solutions. These services include Accelerator Services for Copilot+ PCs, Services for Microsoft Copilot Studio and Azure AI Studio, and Implementation Services for Microsoft Azure AI Service. These offerings are intended to enhance productivity and support new business opportunities through AI application development. Comprehensive data protection and security On the cybersecurity front, Dell has also unveiled the Dell APEX Protection Services for Microsoft Azure, which provided Dell managed AI-powered cloud data protection and cyber resilience. This service aims to improve operational efficiency, enhance data protection with advanced data reduction capabilities and offer robust cyber recovery options. Moreover, Dell has introduced new security services tailored for Microsoft environments. These services include advisory services for cybersecurity maturity model certification (CCMC) for Microsoft and Managed Detection and Response with Microsoft, helping customers align their cybersecurity posture and focus on core business activities while Dell experts monitor and respond to threats 24/7. Arthur Lewis, President of Infrastructure Solutions Group, Dell Technologies, said, "Organisations modernising their IT strategies to support emerging workloads, like AI, need solutions that help them innovate faster, control costs and protect data across multicloud environments. Our storage software, data protection and services advancements help customers in Microsoft environments accelerate their transformation efforts quickly and securely." Aung Oo, VP of Azure Storage at Microsoft, said, "Our customers are looking for ways to modernise their IT infrastructure and adopt hybrid cloud services safely and securely. "Dell Technologies is enabling their customers to bring their existing knowledge, trusted platforms, and enterprise data to Azure to speed the adoption of critical technologies, including Azure AI Services." Dell Technologies' innovation highlights the company's commitment to helping businesses modernise their IT infrastructure while securely and efficiently adopting advanced AI solutions. With enhanced collaboration with Microsoft, Dell is providing the tools and services businesses need to thrive in today's digital-first, multicloud world. Availability Dell-managed Dell APEX File Storage for Microsoft Azure will be available in public preview beginning in the first half - of 2025. Accelerator Services for Copilot+ PCs are available now. Services for Microsoft Copilot Studio are available now. Services for Microsoft Azure AI Studio are available now. Implementation Services for Microsoft Azure AI Service are available now. Dell APEX Protection Services for Microsoft Azure will be available beginning in the first half of 2025. Advisory Services for Cybersecurity Maturity Model Certification (CMMC) for Microsoft are available now. Managed Detection and Response with Microsoft services are available now. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episodes and subscribe using ...

Send me a Text Message hereFULL SHOW NOTES https://podcast.nz365guy.com/612  Is trust really the missing ingredient in the recipe for successful business relationships, especially in the world of tech and AI? Join Ana Welch, Andrew Welch, Chris Huntingford, and William Dorrington as they unpack this provocative question and explore the intricate nature of trust within business interactions. Drawing from Stephen Covey's "The Speed of Trust," they promise to reshape your understanding of how trust—or the lack of it—impacts every deal and partnership. With a spotlight on the often fraught dynamics between Microsoft partners and their customers, they reveal why today's savvy business audience scrutinizes every word and motive more than ever before. Through consistent, transparent interactions, they can build the trust that is crucial for confidence in technological advancements.Delve into the complexities of Microsoft's sales and partnership strategies and uncover the real reasons behind the tension in aligning interests with their partners. Contrast this with Salesforce's model, and you'll soon see why navigating these corporate giants can feel like a complex dance.  The discussion also offers a glimpse into the future of AI in business, stressing the importance of delivering true value rather than just technological upgrades. They reflect on personal experiences with tools like Copilot and Azure AI Studio, offering insights into how these innovations can be leveraged effectively. Whether it's managing large-scale AI projects or maintaining momentum in personal endeavours, this episode provides valuable insights to help you thrive in today's tech ecosystem.90 Day Mentoring Challenge 10% off code use MBAP at checkout https://ako.nz365guy.comSupport the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

In this week's episode, we look at recent Microsoft Tech updates. By popular request, we're expanding the scope beyond just Azure to include Microsoft 365, Power Platform, and similar Microsoft platforms and capabilities. What's new? What's interesting? What's retiring? Also, Jussi asks Tobi an unexpected question.(00:00) - Intro and catching up.(05:17) - Show content starts.Show links- Public Preview: Simulate everyday interactions with your app in Azure AI Studio- Public Preview: New evaluations for quality and similarity in Azure AI Studio- Public Preview: Evaluations for protected material (text) in Azure AI Studio - Public preview: Azure Virtual Network IP address management- Retirement: Azure Orbital Ground Station Retirement- Sentinel Ninja training- Microsoft discontinues HoloLens 2- IntuneMacAdmins- GSA resources - Give us feedback!

With more than 1700 models to choose from on Azure, selecting the right one is key to enabling the right capabilities, at the right price point, and with the right protections in place. That's where the Azure AI model catalog and model benchmarks can help. With Azure AI, you can seamlessly integrate powerful GenAI models into your app development process, making your applications smarter, more efficient, and highly scalable. Access a vast selection of AI models, from sophisticated large language models to efficient small models that can run offline. Matt McSpirit, Microsoft Azure expert, shows how to compare and select the right AI model for your specific needs. Azure AI's model benchmarks evaluate models on accuracy, coherence, groundedness, fluency, relevance, and similarity. Experiment with different models in Azure AI Studio or your preferred coding environment, and optimize costs with serverless pricing options.   ► QUICK LINKS: 00:00 - Build GenAI powered apps 00:53 - Model choice 02:11 - Use your environments of choice 02:44 - Choose the right AI model 05:28 - Compare models 08:04 - Wrap up   ► Link References Get started at https://ai.azure.com   See data, privacy, and security for use of models at https://aka.ms/AzureAImodelcontrols   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics • Enjoy us on Instagram: https://www.instagram.com/msftmechanics • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

How do you make your own copilot? Carl and Richard talk to Prashant Bhoyar about his work with Copilot Studio and Azure AI Studio. Prashant describes how Copilot Studio lives in the Power Platform space while Azure AI Studio is more related to Visual Studio, in that it is a tool for developers of AI technology. Anything built in Azure AI Studio can be surfaced in Copilot Studio - another kind of fusion development! Lots of conversation about what works well and what is difficult with these tools, and how to avoid some critical mistakes!

How do you make your own copilot? Carl and Richard talk to Prashant Bhoyar about his work with Copilot Studio and Azure AI Studio. Prashant describes how Copilot Studio lives in the Power Platform space while Azure AI Studio is more related to Visual Studio, in that it is a tool for developers of AI technology. Anything built in Azure AI Studio can be surfaced in Copilot Studio - another kind of fusion development! Lots of conversation about what works well and what is difficult with these tools, and how to avoid some critical mistakes!

Send me a Text Message hereFULL SHOW NOTES https://podcast.nz365guy.com/590  Unlock the secrets to a successful career in tech and AI with Bert Wijns, a seasoned Global Solution Strategy Architect at Microsoft based in Belgium. Have you ever wondered how strategic location impacts a global role? Join us as Bert shares his unique perspective, balancing life with an energetic three-and-a-half-year-old son, his passion for the sport of padel, and his love for all things Italian, including food and culture. Our mutual admiration for Italy's breathtaking regions like Tuscany and Lake Como adds an extra layer of warmth to our conversation.Shifting gears, we dissect Microsoft's AI sales strategy, exploring Bert's career evolution from hands-on roles at HPE to strategic consulting at Microsoft. This segment is a treasure trove for anyone facing the complexities of selling AI solutions, as Bert emphasizes the necessity for a comprehensive end-to-end AI strategy. Learn about the importance of long-term vision and structured governance to avoid past pitfalls, and how Microsoft sellers are now becoming thought leaders in the AI space. If you're navigating the world of AI in business, this discussion offers invaluable insights.Finally, venture into the realm of AI implementation and product development with a deep dive into Microsoft's Copilot Studio and Azure AI Studio. Bert shares his expertise on the transition from basic no-code solutions to more sophisticated custom builds, stressing the importance of a strategic approach to AI adoption. From successful marketing strategies and transitioning from a startup to a corporate environment, to the fast-paced advancements in AI technologies like "Power Accelerate," this episode is packed with actionable advice and future-forward thinking. Tune in for inspiration and practical tips that promise to elevate your understanding and application of AI in today's business landscape.90 Day Mentoring Challenge 10% off code use MBAP at checkout https://ako.nz365guy.comSupport the Show.If you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Microsoft Fabric seamlessly integrates with generative AI to enhance data-driven decision-making across your organization. It unifies data management and analysis, allowing for real-time insights and actions. With Real Time Intelligence, keeping grounding data for large language models (LLMs) up-to-date is simplified. This ensures that generative AI responses are based on the most current information, enhancing the relevance and accuracy of outputs. Microsoft Fabric also infuses generative AI experiences throughout its platform, with tools like Copilot in Fabric and Azure AI Studio enabling easy connection of unified data to sophisticated AI models.   ► QUICK LINKS: 00:00 - Unify data with Microsoft Fabric 00:35 - Unified data storage & real-time analysis 01:08 - Security with Microsoft Purview 01:25 - Real-Time Intelligence 02:05 - Integration with Azure AI Studio   ► Link References This is Part 3 of 3 in our series on leveraging generative AI. Watch our playlist at https://aka.ms/GenAIwithAzureDBs   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Leverage Azure Cosmos DB for generative AI workloads for automatic scalability, low latency, and global distribution to handle massive data volumes and real-time processing. With support for versatile data models and built-in vector indexing, it efficiently retrieves natural language queries, making it ideal for grounding large language models. Seamlessly integrate with Azure OpenAI Studio for API-level access to GPT models and access a comprehensive gallery of open-source tools and frameworks in Azure AI Studio to enhance your AI applications. ► QUICK LINKS: 00:00 - Azure Cosmos DB for generative AI workloads 00:18 - Versatile Data Models 00:39 - Scalability and performance 01:19 - Global distribution 01:31 - Vector indexing and search 02:07 - Grounding LLMs 02:30 - Wrap up   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Check out new AI integrations for your Azure SQL databases. With Retrieval Augmented Generation, you can bridge structured data with generative AI, enhancing natural language queries across applications. With advanced vector-based semantic search, discover precise insights tailored to your data, while Copilot in Azure streamlines troubleshooting and T-SQL query authoring. Optimize workflows, personalize responses, and unlock new levels of efficiency in SQL-driven AI applications. Accelerate performance troubleshooting and complex query authoring tasks with Copilot in Azure. Quickly diagnose database issues and receive expert recommendations for optimization, ensuring optimal performance and reliability. Seamlessly traverse hierarchies within tables and generate intricate queries with ease, saving time and resources. Bob Ward, Azure Principal Architect, shows how to unleash the full potential of your SQL data, driving innovation and intelligence across your applications.   ► QUICK LINKS: 00:00 - AI and Azure SQL 01:40 - Using T-SQL for search 02:30 - Using Azure AI Search 03:17 - Vector embeddings and skillsets 04:08 - Connect your SQL data to an AI app 05:44 - Test it in Azure OpenAI Studio playground 07:22 - Combine native JSON data type in SQL 08:30 - Hybrid search 09:56 - Copilot in Azure: Performance troubleshooting 11:11 - Copilot in Azure: Query authoring 12:24 - Permissions 12:40 - Wrap up   ► Link References For building AI apps, check out https://aka.ms/sqlai  Try out new copilot experiences at https://aka.ms/sqlcopilot   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

Last week's Microsoft Build 2024 is fresh on our minds, and we take a deeper look at the hero announcements. Copilot+ PCs and AI in general are top of mind for us, because that was also what Build was essentially about. Also, Jussi asks Tobi an unexpected question.(00:00) - Intro and catching up.(03:58) - Show content starts.Show links- Microsoft Build 2024- Build 2024 Book of News- Copilot+ PCs- Ctrl+Alt+Azure | 232 - Diving into Azure AI Studio- What is Azure AI Studio? - Azure AI Studio | Microsoft Learn - Give us feedback!

Microsoft has built the world's largest cloud-based AI supercomputer that is already exponentially bigger than it was just 6 months ago, paving the way for a future with agentic systems. For example, its AI infrastructure is capable of training and inferencing the most sophisticated large language models at massive scale on Azure. In parallel, Microsoft is also developing some of the most compact small language models with Phi-3, capable of running offline on your mobile phone.  Watch Azure CTO and Microsoft Technical Fellow Mark Russinovich demonstrate this hands-on and go into the mechanics of how Microsoft is able to optimize and deliver performance with its AI infrastructure to run AI workloads of any size efficiently on a global scale.  This includes a look at: how it designs its AI systems to take a modular and scalable approach to running a diverse set of hardware including the latest GPUs from industry leaders as well as Microsoft's own silicon innovations; the work to develop a common interoperability layer for GPUs and AI accelerators, and its work to develop its own state-of-the-art AI-optimized hardware and software architecture to run its own commercial services like Microsoft Copilot and more. ► QUICK LINKS: 00:00 - AI Supercomputer 01:51 - Azure optimized for inference 02:41 - Small Language Models (SLMs) 03:31 - Phi-3 family of SLMs 05:03 - How to choose between SLM & LLM 06:04 - Large Language Models (LLMs) 07:47 - Our work with Maia 08:52 - Liquid cooled system for AI workloads 09:48 - Sustainability commitments 10:15 - Move between GPUs without rewriting code or building custom kernels. 11:22 - Run the same underlying models and code on Maia silicon 12:30 - Swap LLMs or specialized models with others13:38 - Fine-tune an LLM 14:15 - Wrap up   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

In episode 193 of our SAP on Azure video podcast we talk about the Azure Center for SAP Solutions and how it helps you from the Azure Portal to create and operate SAP systems. We talked about integrating other Azure solutions like Azure Monitor or the Health Check with your SAP system. One cool thing that is availalble under the hood are APIs which allows you to fetch all this information from your SAP system. And this can actually be quite powerful. Trond Stroemme took these APIs and built a really neat Copilot scenario around it. Using the Azure AI Studio you can now build a simple Chat that allows you to interact with the Azure Center for SAP Solutions. Find all the links mentioned here: https://www.saponazurepodcast.de/episode193 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #ACSS #AI

Microsoft's Build event showcased several key announcements, including the introduction of AI-powered CoPilot Plus PCs, enhanced security measures, and new AI tools. The CoPilot Plus PCs featured AI-powered ARM-based Snapdragon X Elite and Plus processors, offering advanced capabilities for automation, collaboration, and productivity. These devices were designed to streamline IT tasks, boost collaboration, and enhance overall productivity for users.In terms of security, Microsoft unveiled a major push for Windows 11, introducing new features and updates to enhance user protections. This included the adoption of the Pluton security processor in the CoPilot Plus PCs, local security authority protection on all PCs, Windows Hello enhanced sign-in security, smart app control, and Windows Hello and Win32 app isolation updates. These security enhancements aimed to address cybersecurity challenges and provide users with a more secure computing environment.Additionally, Microsoft introduced new AI tools and capabilities, such as the Recall feature for logging and retrieving user actions, real-time video translation on Microsoft Edge, and the release of Azure AI Studio with various AI models optimized for different tasks. These tools aimed to improve user experience, accessibility, and efficiency by leveraging AI technology to enhance various aspects of computing and communication.Overall, Microsoft's focus on AI-powered CoPilot Plus PCs, enhanced security measures, and new AI tools at the Build event highlighted the company's commitment to innovation and improving the user experience in the digital landscape. Four things to know today from Microsoft Build 00:00 Surface Event Highlights: AI-Powered Copilot Plus PCs, Enhanced Security, and New AI Tools06:04 Microsoft Expands Copilot AI to Automate IT Tasks, Boost Collaboration, and Enhance Productivity09:15 End of an Era: Microsoft Deprecates NTLM and VBScript, Shifts to Modern Security Measures11:15 Windows 11 Recall Feature Sparks Privacy and Data Security Concerns   Supported by:  https://www.coreview.com/msp  All our Sponsors:   https://businessof.tech/sponsors/  Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/ Support the show on Patreon: https://patreon.com/mspradio/ Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessoftech.bsky.social

(Disclaimer: erstellt mit Chat GPT)Hallo liebe Community,In dieser Episode von Talk Microsoft 365 begrüßen Michael und Thorsten ihren MVP-Kollegen Ralf Richter. Ralf gibt spannende Einblicke in die neuesten Entwicklungen der Microsoft Build, teilt seine Expertise als Cloud Consultant und begeistert mit seiner Leidenschaft für alles rund um Azure und AI. Außerdem gibt es eine fast vergessene Challenge, das Geständnis eines Exchange-Programmierers und eine hitzige Diskussion über den neuen Team Copilot. Hört rein und lasst euch überraschen!

Carsten and Daniel are back for part two of our Microsoft Copilot Studio and Azure AI Studio podcast episode. Learn how to navigate the decision tree of what copilot tool to use when building custom copilots, which will help you get greater ROI faster, and what teams are going to have to get involved when choosing the right tool!

Microsoft Copilot Studio and Azure AI Studio provide ways for developers to build custom copilots. But what tool should you use and when? Carsten and Daniel join the podcast to share their thoughts on how organizations should approach Copilot Studio and Azure AI Studio to build amazing custom copilot solutions! This episode is so great we had to break it into two parts!  The Power Platform Talks blog: Power Platform | UPD: Copilot Governance Power Platform | Copilot Studio, Azure AI Studio or Both? Microsoft Customer Stories: How early adopters are transforming their organizations with copilots  

M365 Copilot ist mehr als nur Word und PowerPoint! Es gibt viele kleine Möglichkeiten z.B. mit Copilot Studio oder Azure AI Studio auch für viele Mitarbeitende einen Mehrwert zu schaffen. Zu Gast: Marcel Broschk, Director Consulting Expert Microsoft 365 bei CGI. Zu Copilot Community von Marcel: Copilot for M365, Copilot Studio, Azure AI | Gruppen | LinkedIn Marcel auf LinkedIn: Marcel Broschk | LinkedIn

We've discussed generative AI and Azure AI capabilities in a few past episodes. In this episode, we'll bring it all together and focus on Azure AI Studio—how do you build generative AI solutions using this service? We consider how to choose LLMs, cost, deployment, bringing your data, and what solutions companies are building with this. Also, Tobi asks Jussi an unexpected question.(00:00) - Intro and catching up.(03:56) - Show content starts.Show links- Ctrl+Alt+Azure: 199 - Refreshing our knowledge on Azure AI - Ctrl+Alt+Azure: 220 - When to use what with generative AI? - Ctrl+Alt+Azure: 223 - Understanding Azure AI Search- Azure AI Studio - Give us feedback!

TL;DR: You can now buy tickets, apply to speak, or join the expo for the biggest AI Engineer event of 2024. We're gathering *everyone* you want to meet - see you this June.In last year's the Rise of the AI Engineer we put our money where our mouth was and announced the AI Engineer Summit, which fortunately went well:With ~500 live attendees and over ~500k views online, the first iteration of the AI Engineer industry affair seemed to be well received. Competing in an expensive city with 3 other more established AI conferences in the fall calendar, we broke through in terms of in-person experience and online impact.So at the end of Day 2 we announced our second event: the AI Engineer World's Fair. The new website is now live, together with our new presenting sponsor:We were delighted to invite both Ben Dunphy, co-organizer of the conference and Sam Schillace, the deputy CTO of Microsoft who wrote some of the first Laws of AI Engineering while working with early releases of GPT-4, on the pod to talk about the conference and how Microsoft is all-in on AI Engineering.Rise of the Planet of the AI EngineerSince the first AI Engineer piece, AI Engineering has exploded:and the title has been adopted across OpenAI, Meta, IBM, and many, many other companies:1 year on, it is clear that AI Engineering is not only in full swing, but is an emerging global industry that is successfully bridging the gap:* between research and product, * between general-purpose foundation models and in-context use-cases, * and between the flashy weekend MVP (still great!) and the reliable, rigorously evaluated AI product deployed at massive scale, assisting hundreds of employees and driving millions in profit.The greatly increased scope of the 2024 AI Engineer World's Fair (more stages, more talks, more speakers, more attendees, more expo…) helps us reflect the growth of AI Engineering in three major dimensions:* Global Representation: the 2023 Summit was a mostly-American affair. This year we plan to have speakers from top AI companies across five continents, and explore the vast diversity of approaches to AI across global contexts.* Topic Coverage: * In 2023, the Summit focused on the initial questions that the community wrestled with - LLM frameworks, RAG and Vector Databases, Code Copilots and AI Agents. Those are evergreen problems that just got deeper.* This year the AI Engineering field has also embraced new core disciplines with more explicit focus on Multimodality, Evals and Ops, Open Source Models and GPU/Inference Hardware providers.* Maturity/Production-readiness: Two new tracks are dedicated toward AI in the Enterprise, government, education, finance, and more highly regulated industries or AI deployed at larger scale: * AI in the Fortune 500, covering at-scale production deployments of AI, and* AI Leadership, a closed-door, side event for technical AI leaders to discuss engineering and product leadership challenges as VPs and Heads of AI in their respective orgs.We hope you will join Microsoft and the rest of us as either speaker, exhibitor, or attendee, in San Francisco this June. Contact us with any enquiries that don't fall into the categories mentioned below.Show Notes* Ben Dunphy* 2023 Summit* GitHub confirmed $100m ARR on stage* History of World's Fairs* Sam Schillace* Writely on Acquired.fm* Early Lessons From GPT-4: The Schillace Laws* Semantic Kernel* Sam on Kevin Scott (Microsoft CTO)'s podcast in 2022* AI Engineer World's Fair (SF, Jun 25-27)* Buy Super Early Bird tickets (Listeners can use LATENTSPACE for $100 off any ticket until April 8, or use GROUP if coming in 4 or more)* Submit talks and workshops for Speaker CFPs (by April 8)* Enquire about Expo Sponsorship (Asap.. selling fast)Timestamps* [00:00:16] Intro* [00:01:04] 2023 AI Engineer Summit* [00:03:11] Vendor Neutral* [00:05:33] 2024 AIE World's Fair* [00:07:34] AIE World's Fair: 9 Tracks* [00:08:58] AIE World's Fair Keynotes* [00:09:33] Introducing Sam* [00:12:17] AI in 2020s vs the Cloud in 2000s* [00:13:46] Syntax vs Semantics* [00:14:22] Bill Gates vs GPT-4* [00:16:28] Semantic Kernel and Schillace's Laws of AI Engineering* [00:17:29] Orchestration: Break it into pieces* [00:19:52] Prompt Engineering: Ask Smart to Get Smart* [00:21:57] Think with the model, Plan with Code* [00:23:12] Metacognition vs Stochasticity* [00:24:43] Generating Synthetic Textbooks* [00:26:24] Trade leverage for precision; use interaction to mitigate* [00:27:18] Code is for syntax and process; models are for semantics and intent.* [00:28:46] Hands on AI Leadership* [00:33:18] Multimodality vs "Text is the universal wire protocol"* [00:35:46] Azure OpenAI vs Microsoft Research vs Microsoft AI Division* [00:39:40] On Satya* [00:40:44] Sam at AI Leadership Track* [00:42:05] Final Plug for Tickets & CFPTranscript[00:00:00] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO in residence at Decibel Partners, and I'm joined by my co host Swyx, founder of Small[00:00:16] Intro[00:00:16] swyx: AI. Hey, hey, we're back again with a very special episode, this time with two guests and talking about the very in person events rather than online stuff.[00:00:27] swyx: So first I want to welcome Ben Dunphy, who is my co organizer on AI engineer conferences. Hey, hey, how's it going? We have a very special guest. Anyone who's looking at the show notes and the title will preview this later. But I guess we want to set the context. We are effectively doing promo for the upcoming AI Engineer World's Fair that's happening in June.[00:00:49] swyx: But maybe something that we haven't actually recapped much on the pod is just the origin of the AI Engineer Summit and why, what happens and what went down. Ben, I don't know if you'd like to start with the raw numbers that people should have in mind.[00:01:04] 2023 AI Engineer Summit[00:01:04] Ben Dunphy: Yeah, perhaps your listeners would like just a quick background on the summit.[00:01:09] Ben Dunphy: I mean, I'm sure many folks have heard of our events. You know, you launched, we launched the AI Engineer Summit last June with your, your article kind of coining the term that was on the tip of everyone's tongue, but curiously had not been actually coined, which is the term AI Engineer, which is now many people's, Job titles, you know, we're seeing a lot more people come to this event, with the job description of AI engineer, with the job title of AI engineer so, is an event that you and I really talked about since February of 2023, when we met at a hackathon you organized we were both excited by this movement and it hasn't really had a name yet.[00:01:48] Ben Dunphy: We decided that an event was warranted and that's why we move forward with the AI Engineer Summit, which Ended up being a great success. You know, we had over 5, 000 people apply to attend in person. We had over 9, 000 folks attend, online with over 20, 000 on the live stream.[00:02:06] Ben Dunphy: In person, we accepted about 400 attendees and had speakers, workshop instructors and sponsors, all congregating in San Francisco over, two days, um, two and a half days with a, with a welcome reception. So it was quite the event to kick off kind of this movement that's turning into quite an exciting[00:02:24] swyx: industry.[00:02:25] swyx: The overall idea of this is that I kind of view AI engineering, at least in all my work in Latent Space and the other stuff, as starting an industry.[00:02:34] swyx: And I think every industry, every new community, needs a place to congregate. And I definitely think that AI engineer, at least at the conference, is that it's meant to be like the biggest gathering of technical engineering people working with AI. Right. I think we kind of got that spot last year. There was a very competitive conference season, especially in San Francisco.[00:02:54] swyx: But I think as far as I understand, in terms of cultural impact, online impact, and the speakers that people want to see, we, we got them all and it was very important for us to be a vendor neutral type of event. Right. , The reason I partnered with Ben is that Ben has a lot of experience, a lot more experience doing vendor neutral stuff.[00:03:11] Vendor Neutral[00:03:11] swyx: I first met you when I was speaking at one of your events, and now we're sort of business partners on that. And yeah, I mean, I don't know if you have any sort of Thoughts on make, making things vendor neutral, making things more of a community industry conference rather than like something that's owned by one company.[00:03:25] swyx: Yeah.[00:03:25] Ben Dunphy: I mean events that are owned by a company are great, but this is typically where you have product pitches and this smaller internet community. But if you want the truly internet community, if you want a more varied audience and you know, frankly, better content for, especially for a technical audience, you want a vendor neutral event. And this is because when you have folks that are running the event that are focused on one thing and one thing alone, which is quality, quality of content, quality of speakers, quality of the in person experience, and just of general relevance it really elevates everything to the next level.[00:04:01] Ben Dunphy: And when you have someone like yourself who's coming To this content curation the role that you take at this event, and bringing that neutrality with, along with your experience, that really helps to take it to the next level, and then when you have someone like myself, focusing on just the program curation, and the in person experience, then both of our forces combined, we can like, really create this epic event, and so, these vendor neutral events if you've been to a small community event, Typically, these are vendor neutral, but also if you've been to a really, really popular industry event, many of the top industry events are actually vendor neutral.[00:04:37] Ben Dunphy: And that's because of the fact that they're vendor neutral, not in spite of[00:04:41] swyx: it. Yeah, I've been pretty open about the fact that my dream is to build the KubeCon of AI. So if anyone has been in the Kubernetes world, they'll understand what that means. And then, or, or instead of the NeurIPS, NeurIPS for engineers, where engineers are the stars and engineers are sharing their knowledge.[00:04:57] swyx: Perspectives, because I think AI is definitely moving over from research to engineering and production. I think one of my favorite parts was just honestly having GitHub and Microsoft support, which we'll cover in a bit, but you know, announcing finally that GitHub's copilot was such a commercial success I think was the first time that was actually confirmed by anyone in public.[00:05:17] swyx: For me, it's also interesting as sort of the conference curator to put Microsoft next to competitors some of which might be much smaller AI startups and to see what, where different companies are innovating in different areas.[00:05:27] swyx: Well, they're next to[00:05:27] Ben Dunphy: each other in the arena. So they can be next to each other on stage too.[00:05:33] Why AIE World's Fair[00:05:33] swyx: Okay, so this year World's Fair we are going a lot bigger what details are we disclosing right now? Yeah,[00:05:39] Ben Dunphy: I guess we should start with the name why are we calling it the World's Fair? And I think we need to go back to what inspired this, what actually the original World's Fair was, which was it started in the late 1700s and went to the early 1900s.[00:05:53] Ben Dunphy: And it was intended to showcase the incredible achievements. Of nation states, corporations, individuals in these grand expos. So you have these miniature cities actually being built for these grand expos. In San Francisco, for example, you had the entire Marina District built up in absolutely new construction to showcase the achievements of industry, architecture, art, and culture.[00:06:16] Ben Dunphy: And many of your listeners will know that in 1893, the Nikola Tesla famously provided power to the Chicago World's Fair with his 8 seat power generator. There's lots of great movies and documentaries about this. That was the first electric World's Fair, which thereafter it was referred to as the White City.[00:06:33] Ben Dunphy: So in today's world we have technological change that's similar to what was experienced during the industrial revolution in how it's, how it's just upending our entire life, how we live, work, and play. And so we have artificial intelligence, which has long been the dream of humanity.[00:06:51] Ben Dunphy: It's, it's finally here. And the pace of technological change is just accelerating. So with this event, as you mentioned, we, we're aiming to create a singular event where the world's foremost experts, builders, and practitioners can come together to exchange and reflect. And we think this is not only good for business, but it's also good for our mental health.[00:07:12] Ben Dunphy: It slows things down a bit from the Twitter news cycle to an in person festival of smiles, handshakes, connections, and in depth conversations that online media and online events can only ever dream of replicating. So this is an expo led event where the world's top companies will mingle with the world's top founders and AI engineers who are building and enhanced by AI.[00:07:34] AIE World's Fair: 9 Tracks[00:07:34] Ben Dunphy: And not to mention, we're featuring over a hundred talks and workshops across[00:07:37] swyx: nine tracks. Yeah, I mean, those nine tracks will be fun. Actually, do we have a little preview of the tracks in the, the speakers?[00:07:43] Ben Dunphy: We do. Folks can actually see them today at our website. We've updated that at ai.[00:07:48] Ben Dunphy: engineer. So we'd encourage them to go there to see that. But for those just listening, we have nine tracks. So we have multimodality. We have retrieval augmented generation. Featuring LLM frameworks and vector databases, evals and LLM ops, open source models, code gen and dev tools, GPUs and inference, AI agent applications, AI in the fortune 500, and then we have a special track for AI leadership which you can access by purchasing the VP pass which is different from the, the other passes we have.[00:08:20] Ben Dunphy: And I won't go into the Each of these tracks in depth, unless you want to, Swyx but there's more details on the website at ai. engineer.[00:08:28] swyx: I mean, I, I, very much looking forward to talking to our special guests for the last track, I think, which is the what a lot of yeah, leaders are thinking about, which is how to, Inspire innovation in their companies, especially the sort of larger organizations that might not have the in house talents for that kind of stuff.[00:08:47] swyx: So yeah, we can talk about the expo, but I'm very keen to talk about the presenting sponsor if you want to go slightly out of order from our original plan.[00:08:58] AIE World's Fair Keynotes[00:08:58] Ben Dunphy: Yeah, absolutely. So you know, for the stage of keynotes, we have talks confirmed from Microsoft, OpenAI, AWS, and Google.[00:09:06] Ben Dunphy: And our presenting sponsor is joining the stage with those folks. And so that presenting sponsor this year is a dream sponsor. It's Microsoft. It's the company really helping to lead the charge. And into this wonderful new era that we're all taking part in. So, yeah,[00:09:20] swyx: you know, a bit of context, like when we first started planning this thing, I was kind of brainstorming, like, who would we like to get as the ideal presenting sponsors, as ideal partners long term, just in terms of encouraging the AI engineering industry, and it was Microsoft.[00:09:33] Introducing Sam[00:09:33] swyx: So Sam, I'm very excited to welcome you onto the podcast. You are CVP and Deputy CTO of Microsoft. Welcome.[00:09:40] Sam Schillace: Nice to be here. I'm looking forward to, I was looking for, to Lessio saying my last name correctly this time. Oh[00:09:45] swyx: yeah. So I, I studiously avoided saying, saying your last name, but apparently it's an Italian last name.[00:09:50] swyx: Ski Lache. Ski[00:09:51] Alessio: Lache. Yeah. No, that, that's great, Sean. That's great as a musical person.[00:09:54] swyx: And it, it's also, yeah, I pay attention to like the, the, the lilt. So it's ski lache and the, the slow slowing of the law is, is what I focused[00:10:03] Sam Schillace: on. You say both Ls. There's no silent letters, you say[00:10:07] Alessio: both of those. And it's great to have you, Sam.[00:10:09] Alessio: You know, we've known each other now for a year and a half, two years, and our first conversation, well, it was at Lobby Conference, and then we had a really good one in the kind of parking lot of a Safeway, because we didn't want to go into Starbucks to meet, so we sat outside for about an hour, an hour and a half, and then you had to go to a Bluegrass concert, so it was great.[00:10:28] Alessio: Great meeting, and now, finally, we have you on Lanespace.[00:10:31] Sam Schillace: Cool, cool. Yeah, I'm happy to be here. It's funny, I was just saying to Swyx before you joined that, like, it's kind of an intimidating podcast. Like, when I listen to this podcast, it seems to be, like, one of the more intelligent ones, like, more, more, like, deep technical folks on it.[00:10:44] Sam Schillace: So, it's, like, it's kind of nice to be here. It's fun. Bring your A game. Hopefully I'll, I'll bring mine. I[00:10:49] swyx: mean, you've been programming for longer than some of our listeners have been alive, so I don't think your technical chops are in any doubt. So you were responsible for Rightly as one of your early wins in your career, which then became Google Docs, and obviously you were then responsible for a lot more G Suite.[00:11:07] swyx: But did you know that you covered in Acquired. fm episode 9, which is one of the podcasts that we model after.[00:11:13] Sam Schillace: Oh, cool. I didn't, I didn't realize that the most fun way to say this is that I still have to this day in my personal GDocs account, the very first Google doc, like I actually have it.[00:11:24] Sam Schillace: And I looked it up, like it occurred to me like six months ago that it was probably around and I went and looked and it's still there. So it's like, and it's kind of a funny thing. Cause it's like the backend has been rewritten at least twice that I know of the front end has been re rewritten at least twice that I know of.[00:11:38] Sam Schillace: So. I'm not sure what sense it's still the original one it's sort of more the idea of the original one, like the NFT of it would probably be more authentic. I[00:11:46] swyx: still have it. It's a ship athesia thing. Does it, does it say hello world or something more mundane?[00:11:52] Sam Schillace: It's, it's, it's me and Steve Newman trying to figure out if some collaboration stuff is working, and also a picture of Edna from the Incredibles that I probably pasted in later, because that's That's too early for that, I think.[00:12:05] swyx: People can look up your LinkedIn, and we're going to link it on the show notes, but you're also SVP of engineering for Box, and then you went back to Google to do Google, to lead Google Maps, and now you're deputy CTO.[00:12:17] AI in 2020s vs the Cloud in 2000s[00:12:17] swyx: I mean, there's so many places to start, but maybe one place I like to start off with is do you have a personal GPT 4 experience.[00:12:25] swyx: Obviously being at Microsoft, you have, you had early access and everyone talks about Bill Gates's[00:12:30] Sam Schillace: demo. Yeah, it's kind of, yeah, that's, it's kind of interesting. Like, yeah, we got access, I got access to it like in September of 2022, I guess, like before it was really released. And I it like almost instantly was just like mind blowing to me how good it was.[00:12:47] Sam Schillace: I would try experiments like very early on, like I play music. There's this thing called ABC notation. That's like an ASCII way to represent music. And like, I was like, I wonder if it can like compose a fiddle tune. And like it composed a fiddle tune. I'm like, I wonder if it can change key, change the key.[00:13:01] Sam Schillace: Like it's like really, it was like very astonishing. And I sort of, I'm very like abstract. My background is actually more math than CS. I'm a very abstract thinker and sort of categorical thinker. And the, the thing that occurred to me with, with GPT 4 the first time I saw it was. This is really like the beginning, it's the beginning of V2 of the computer industry completely.[00:13:23] Sam Schillace: I had the same feeling I had when, of like a category shifting that I had when the cloud stuff happened with the GDocs stuff, right? Where it's just like, all of a sudden this like huge vista opens up of capabilities. And I think the way I characterized it, which is a little bit nerdy, but I'm a nerd so lean into it is like everything until now has been about syntax.[00:13:46] Syntax vs Semantics[00:13:46] Sam Schillace: Like, we have to do mediation. We have to describe the real world in forms that the digital world can manage. And so we're the mediation, and we, like, do that via things like syntax and schema and programming languages. And all of a sudden, like, this opens the door to semantics, where, like, you can express intention and meaning and nuance and fuzziness.[00:14:04] Sam Schillace: And the machine itself is doing, the model itself is doing a bunch of the mediation for you. And like, that's obviously like complicated. We can talk about the limits and stuff, and it's getting better in some ways. And we're learning things and all kinds of stuff is going on around it, obviously.[00:14:18] Sam Schillace: But like, that was my immediate reaction to it was just like, Oh my God.[00:14:22] Bill Gates vs GPT-4[00:14:22] Sam Schillace: Like, and then I heard about the build demo where like Bill had been telling Kevin Scott this, This investment is a waste. It's never going to work. AI is blah, blah, blah. And come back when it can pass like an AP bio exam.[00:14:33] Sam Schillace: And they actually literally did that at one point, they brought in like the world champion of the, like the AP bio test or whatever the AP competition and like it and chat GPT or GPT 4 both did the AP bio and GPT 4 beat her. So that was the moment that convinced Bill that this was actually real.[00:14:53] Sam Schillace: Yeah, it's fun. I had a moment with him actually about three weeks after that when we had been, so I started like diving in on developer tools almost immediately and I built this thing with a small team that's called the Semantic Kernel which is one of the very early orchestrators just because I wanted to be able to put code and And inference together.[00:15:10] Sam Schillace: And that's probably something we should dig into more deeply. Cause I think there's some good insights in there, but I I had a bunch of stuff that we were building and then I was asked to go meet with Bill Gates about it and he's kind of famously skeptical and, and so I was a little bit nervous to meet him the first time.[00:15:25] Sam Schillace: And I started the conversation with, Hey, Bill, like three weeks ago, you would have called BS on everything I'm about to show you. And I would probably have agreed with you, but we've both seen this thing. And so we both know it's real. So let's skip that part and like, talk about what's possible.[00:15:39] Sam Schillace: And then we just had this kind of fun, open ended conversation and I showed him a bunch of stuff. So that was like a really nice, fun, fun moment as well. Well,[00:15:46] swyx: that's a nice way to meet Bill Gates and impress[00:15:48] Sam Schillace: him. A little funny. I mean, it's like, I wasn't sure what he would think of me, given what I've done and his.[00:15:54] Sam Schillace: Crown Jewel. But he was nice. I think he likes[00:15:59] swyx: GDocs. Crown Jewel as in Google Docs versus Microsoft Word? Office.[00:16:03] Sam Schillace: Yeah. Yeah, versus Office. Yeah, like, I think, I mean, I can imagine him not liking, I met Steven Snofsky once and he sort of respectfully, but sort of grimaced at me. You know, like, because of how much trauma I had caused him.[00:16:18] Sam Schillace: So Bill was very nice to[00:16:20] swyx: me. In general it's like friendly competition, right? They keep you, they keep you sharp, you keep each[00:16:24] Sam Schillace: other sharp. Yeah, no, I think that's, it's definitely respect, it's just kind of funny.[00:16:28] Semantic Kernel and Schillace's Laws of AI Engineering[00:16:28] Sam Schillace: Yeah,[00:16:28] swyx: So, speaking of semantic kernel, I had no idea that you were that deeply involved, that you actually had laws named after you.[00:16:35] swyx: This only came up after looking into you for a little bit. Skelatches laws, how did those, what's the, what's the origin[00:16:41] Sam Schillace: story? Hey! Yeah, that's kind of funny. I'm actually kind of a modest person and so I'm sure I feel about having my name attached to them. Although I do agree with all, I believe all of them because I wrote all of them.[00:16:49] Sam Schillace: This is like a designer, John Might, who works with me, decided to stick my name on them and put them out there. Seriously, but like, well, but like, so this was just I, I'm not, I don't build models. Like I'm not an AI engineer in the sense of, of like AI researcher that's like doing inference. Like I'm somebody who's like consuming the models.[00:17:09] Sam Schillace: Exactly. So it's kind of funny when you're talking about AI engineering, like it's a good way of putting it. Cause that's how like I think about myself. I'm like, I'm an app builder. I just want to build with this tool. Yep. And so we spent all of the fall and into the winter in that first year, like Just trying to build stuff and learn how this tool worked.[00:17:29] Orchestration: Break it into pieces[00:17:29] Sam Schillace: And I guess those are a little bit in the spirit of like Robert Bentley's programming pearls or something. I was just like, let's kind of distill some of these ideas down of like. How does this thing work? I saw something I still see today with people doing like inference is still kind of expensive.[00:17:46] Sam Schillace: GPUs are still kind of scarce. And so people try to get everything done in like one shot. And so there's all this like prompt tuning to get things working. And one of the first laws was like, break it into pieces. Like if it's hard for you, it's going to be hard for the model. But if it's you know, there's this kind of weird thing where like, it's.[00:18:02] Sam Schillace: It's absolutely not a human being, but starting to think about, like, how would I solve the problem is often a good way to figure out how to architect the program so that the model can solve the problem. So, like, that was one of the first laws. That came from me just trying to, like, replicate a test of a, like, a more complicated, There's like a reasoning process that you have to go through that, that Google was, was the react, the react thing, and I was trying to get GPT 4 to do it on its own.[00:18:32] Sam Schillace: And, and so I'd ask it the question that was in this paper, and the answer to the question is like the year 2000. It's like, what year did this particular author who wrote this book live in this country? And you've kind of got to carefully reason through it. And like, I could not get GPT 4 to Just to answer the question with the year 2000.[00:18:50] Sam Schillace: And if you're thinking about this as like the kernel is like a pipelined orchestrator, right? It's like very Unix y, where like you have a, some kind of command and you pipe stuff to the next parameters and output to the next thing. So I'm thinking about this as like one module in like a pipeline, and I just want it to give me the answer.[00:19:05] Sam Schillace: I don't want anything else. And I could not prompt engineer my way out of that. I just like, it was giving me a paragraph or reasoning. And so I sort of like anthropomorphized a little bit and I was like, well, the only way you can think about stuff is it can think out loud because there's nothing else that the model does.[00:19:19] Sam Schillace: It's just doing token generation. And so it's not going to be able to do this reasoning if it can't think out loud. And that's why it's always producing this. But if you take that paragraph of output, which did get to the right answer and you pipe it into a second prompt. That just says read this conversation and just extract the answer and report it back.[00:19:38] Sam Schillace: That's an easier task. That would be an easier task for you to do or me to do. It's easier reasoning. And so it's an easier thing for the model to do and it's much more accurate. And that's like 100 percent accurate. It always does that. So like that was one of those, those insights on the that led to the, the choice loss.[00:19:52] Prompt Engineering: Ask Smart to Get Smart[00:19:52] Sam Schillace: I think one of the other ones that's kind of interesting that I think people still don't fully appreciate is that GPT 4 is the rough equivalent of like a human being sitting down for centuries or millennia and reading all the books that they can find. It's this vast mind, right, and the embedding space, the latent space, is 100, 000 K, 100, 000 dimensional space, right?[00:20:14] Sam Schillace: Like it's this huge, high dimensional space, and we don't have good, um, Intuition about high dimensional spaces, like the topology works in really weird ways, connectivity works in weird ways. So a lot of what we're doing is like aiming the attention of a model into some part of this very weirdly connected space.[00:20:30] Sam Schillace: That's kind of what prompt engineering is. But that kind of, like, what we observed to begin with that led to one of those laws was You know, ask smart to get smart. And I think we've all, we all understand this now, right? Like this is the whole field of prompt engineering. But like, if you ask like a simple, a simplistic question of the model, you'll get kind of a simplistic answer.[00:20:50] Sam Schillace: Cause you're pointing it at a simplistic part of that high dimensional space. And if you ask it a more intelligent question, you get more intelligent stuff back out. And so I think that's part of like how you think about programming as well. It's like, how are you directing the attention of the model?[00:21:04] Sam Schillace: And I think we still don't have a good intuitive feel for that. To me,[00:21:08] Alessio: the most interesting thing is how do you tie the ask smart, get smart with the syntax and semantics piece. I gave a talk at GDC last week about the rise of full stack employees and how these models are like semantic representation of tasks that people do.[00:21:23] Alessio: But at the same time, we have code. Also become semantic representation of code. You know, I give you the example of like Python that sort it's like really a semantic function. It's not code, but it's actually code underneath. How do you think about tying the two together where you have code?[00:21:39] Alessio: To then extract the smart parts so that you don't have to like ask smart every time and like kind of wrap them in like higher level functions.[00:21:46] Sam Schillace: Yeah, this is, this is actually, we're skipping ahead to kind of later in the conversation, but I like to, I usually like to still stuff down in these little aphorisms that kind of help me remember them.[00:21:57] Think with the model, Plan with Code[00:21:57] Sam Schillace: You know, so we can dig into a bunch of them. One of them is pixels are free, one of them is bots are docs. But the one that's interesting here is Think with the model, plan with code. And so one of the things, so one of the things we've realized, we've been trying to do lots of these like longer running tasks.[00:22:13] Sam Schillace: Like we did this thing called the infinite chatbot, which was the successor to the semantic kernel, which is an internal project. It's a lot like GPTs. The open AI GPT is, but it's like a little bit more advanced in some ways, kind of deep exploration of a rag based bot system. And then we did multi agents from that, trying to do some autonomy stuff and we're, and we're kind of banging our head against this thing.[00:22:34] Sam Schillace: And you know, one of the things I started to realize, this is going to get nerdy for a second. I apologize, but let me dig in on it for just a second. No apology needed. Um, we realized is like, again, this is a little bit of an anthropomorphism and an illusion that we're having. So like when we look at these models, we think there's something continuous there.[00:22:51] Sam Schillace: We're having a conversation with chat GPT or whatever with Azure open air or like, like what's really happened. It's a little bit like watching claymation, right? Like when you watch claymation, you don't think that the model is actually the clay model is actually really alive. You know, that there's like a bunch of still disconnected slot screens that your mind is connecting into a continuous experience.[00:23:12] Metacognition vs Stochasticity[00:23:12] Sam Schillace: And that's kind of the same thing that's going on with these models. Like they're all the prompts are disconnected no matter what. Which means you're putting a lot of weight on memory, right? This is the thing we talked about. You're like, you're putting a lot of weight on precision and recall of your memory system.[00:23:27] Sam Schillace: And so like, and it turns out like, because the models are stochastic, they're kind of random. They'll make stuff up if things are missing. If you're naive about your, your memory system, you'll get lots of like accumulated similar memories that will kind of clog the system, things like that. So there's lots of ways in which like, Memory is hard to manage well, and, and, and that's okay.[00:23:47] Sam Schillace: But what happens is when you're doing plans and you're doing these longer running things that you're talking about, that second level, the metacognition is very vulnerable to that stochastic noise, which is like, I totally want to put this on a bumper sticker that like metacognition is susceptible to stochasticity would be like the great bumper sticker.[00:24:07] Sam Schillace: So what, these things are very vulnerable to feedback loops when they're trying to do autonomy, and they're very vulnerable to getting lost. So we've had these, like, multi agent Autonomous agent things get kind of stuck on like complimenting each other, or they'll get stuck on being quote unquote frustrated and they'll go on strike.[00:24:22] Sam Schillace: Like there's all kinds of weird like feedback loops you get into. So what we've learned to answer your question of how you put all this stuff together is You have to, the model's good at thinking, but it's not good at planning. So you do planning in code. So you have to describe the larger process of what you're doing in code somehow.[00:24:38] Sam Schillace: So semantic intent or whatever. And then you let the model kind of fill in the pieces.[00:24:43] Generating Synthetic Textbooks[00:24:43] Sam Schillace: I'll give a less abstract like example. It's a little bit of an old example. I did this like last year, but at one point I wanted to see if I could generate textbooks. And so I wrote this thing called the textbook factory.[00:24:53] Sam Schillace: And it's, it's tiny. It's like a Jupyter notebook with like. You know, 200 lines of Python and like six very short prompts, but what you basically give it a sentence. And it like pulls out the topic and the level of, of, from that sentence, so you, like, I would like fifth grade reading. I would like eighth grade English.[00:25:11] Sam Schillace: His English ninth grade, US history, whatever. That by the way, all, all by itself, like would've been an almost impossible job like three years ago. Isn't, it's like totally amazing like that by itself. Just parsing an arbitrary natural language sentence to get these two pieces of information out is like almost trivial now.[00:25:27] Sam Schillace: Which is amazing. So it takes that and it just like makes like a thousand calls to the API and it goes and builds a full year textbook, like decides what the curriculum is with one of the prompts. It breaks it into chapters. It writes all the lessons and lesson plans and like builds a teacher's guide with all the answers to all the questions.[00:25:42] Sam Schillace: It builds a table of contents, like all that stuff. It's super reliable. You always get a textbook. It's super brittle. You never get a cookbook or a novel like but like you could kind of define that domain pretty care, like I can describe. The metacognition, the high level plan for how do you write a textbook, right?[00:25:59] Sam Schillace: You like decide the curriculum and then you write all the chapters and you write the teacher's guide and you write the table content, like you can, you can describe that out pretty well. And so having that like code exoskeleton wrapped around the model is really helpful, like it keeps the model from drifting off and then you don't have as many of these vulnerabilities around memory that you would normally have.[00:26:19] Sam Schillace: So like, that's kind of, I think where the syntax and semantics comes together right now.[00:26:24] Trade leverage for precision; use interaction to mitigate[00:26:24] Sam Schillace: And then I think the question for all of us is. How do you get more leverage out of that? Right? So one of the things that I don't love about virtually everything anyone's built for the last year and a half is people are holding the hands of the model on everything.[00:26:37] Sam Schillace: Like the leverage is very low, right? You can't turn. These things loose to do anything really interesting for very long. You can kind of, and the places where people are getting more work out per unit of work in are usually where somebody has done exactly what I just described. They've kind of figured out what the pattern of the problem is in enough of a way that they can write some code for it.[00:26:59] Sam Schillace: And then that that like, so I've seen like sales support stuff. I've seen like code base tuning stuff of like, there's lots of things that people are doing where like, you can get a lot of value in some relatively well defined domain using a little bit of the model's ability to think for you and a little, and a little bit of code.[00:27:18] Code is for syntax and process; models are for semantics and intent.[00:27:18] Sam Schillace: And then I think the next wave is like, okay, do we do stuff like domain specific languages to like make the planning capabilities better? Do we like start to build? More sophisticated primitives. We're starting to think about and talk about like power automate and a bunch of stuff inside of Microsoft that we're going to wrap in these like building blocks.[00:27:34] Sam Schillace: So the models have these chunks of reliable functionality that they can invoke as part of these plans, right? Because you don't want like, if you're going to ask the model to go do something and the output's going to be a hundred thousand lines of code, if it's got to generate that code every time, the randomness, the stochasticity is like going to make that basically not reliable.[00:27:54] Sam Schillace: You want it to generate it like a 10 or 20 line high level semantic plan for this thing that gets handed to some markup executor that runs it and that invokes that API, that 100, 000 lines of code behind it, API call. And like, that's a really nice robust system for now. And then as the models get smarter as new models emerge, then we get better plans, we get more sophistication.[00:28:17] Sam Schillace: In terms of what they can choose, things like that. Right. So I think like that feels like that's probably the path forward for a little while, at least, like there was, there was a lot there. I, sorry, like I've been thinking, you can tell I've been thinking about it a lot. Like this is kind of all I think about is like, how do you build.[00:28:31] Sam Schillace: Really high value stuff out of this. And where do we go? Yeah. The, the role where[00:28:35] swyx: we are. Yeah. The intermixing of code and, and LMS is, is a lot of the role of the AI engineer. And I, I, I think in a very real way, you were one of the first to, because obviously you had early access. Honestly, I'm surprised.[00:28:46] Hands on AI Leadership[00:28:46] swyx: How are you so hands on? How do you choose to, to dedicate your time? How do you advise other tech leaders? Right. You know, you, you are. You have people working for you, you could not be hands on, but you seem to be hands on. What's the allocation that people should have, especially if they're senior tech[00:29:03] Sam Schillace: leaders?[00:29:04] Sam Schillace: It's mostly just fun. Like, I'm a maker, and I like to build stuff. I'm a little bit idiosyncratic. I I've got ADHD, and so I won't build anything. I won't work on anything I'm bored with. So I have no discipline. If I'm not actually interested in the thing, I can't just, like, do it, force myself to do it.[00:29:17] Sam Schillace: But, I mean, if you're not interested in what's going on right now in the industry, like, go find a different industry, honestly. Like, I seriously, like, this is, I, well, it's funny, like, I don't mean to be snarky, but, like, I was at a dinner, like, a, I don't know, six months ago or something, And I was sitting next to a CTO of a large, I won't name the corporation because it would name the person, but I was sitting next to the CTO of a very large Japanese technical company, and he was like, like, nothing has been interesting since the internet, and this is interesting now, like, this is fun again.[00:29:46] Sam Schillace: And I'm like, yeah, totally, like this is like, the most interesting thing that's happened in 35 years of my career, like, we can play with semantics and natural language, and we can have these things that are like sort of active, can kind of be independent in certain ways and can do stuff for us and can like, reach all of these interesting problems.[00:30:02] Sam Schillace: So like that's part of it of it's just kind of fun to, to do stuff and to build stuff. I, I just can't, can't resist. I'm not crazy hands-on, like, I have an eng like my engineering team's listening right now. They're like probably laughing 'cause they, I never, I, I don't really touch code directly 'cause I'm so obsessive.[00:30:17] Sam Schillace: I told them like, if I start writing code, that's all I'm gonna do. And it's probably better if I stay a little bit high level and like, think about. I've got a really great couple of engineers, a bunch of engineers underneath me, a bunch of designers underneath me that are really good folks that we just bounce ideas off of back and forth and it's just really fun.[00:30:35] Sam Schillace: That's the role I came to Microsoft to do, really, was to just kind of bring some energy around innovation, some energy around consumer, We didn't know that this was coming when I joined. I joined like eight months before it hit us, but I think Kevin might've had an idea it was coming. And and then when it hit, I just kind of dove in with both feet cause it's just so much fun to do.[00:30:55] Sam Schillace: Just to tie it back a little bit to the, the Google Docs stuff. When we did rightly originally the world it's not like I built rightly in jQuery or anything. Like I built that thing on bare metal back before there were decent JavaScript VMs.[00:31:10] Sam Schillace: I was just telling somebody today, like you were rate limited. So like just computing the diff when you type something like doing the string diff, I had to write like a binary search on each end of the string diff because like you didn't have enough iterations of a for loop to search character by character.[00:31:24] Sam Schillace: I mean, like that's how rough it was none of the browsers implemented stuff directly, whatever. It's like, just really messy. And like, that's. Like, as somebody who's been doing this for a long time, like, that's the place where you want to engage, right? If things are easy, and it's easy to go do something, it's too late.[00:31:42] Sam Schillace: Even if it's not too late, it's going to be crowded, but like the right time to do something new and disruptive and technical is, first of all, still when it's controversial, but second of all, when you have this, like, you can see the future, you ask this, like, what if question, and you can see where it's going, But you have this, like, pit in your stomach as an engineer as to, like, how crappy this is going to be to do.[00:32:04] Sam Schillace: Like, that's really the right moment to engage with stuff. We're just like, this is going to suck, it's going to be messy, I don't know what the path is, I'm going to get sticks and thorns in my hair, like I, I, it's going to have false starts, and I don't really, I'm going to This is why those skeletchae laws are kind of funny, because, like, I, I, like You know, I wrote them down at one point because they were like my best guess, but I'm like half of these are probably wrong, and I think they've all held up pretty well, but I'm just like guessing along with everybody else, we're just trying to figure this thing out still, right, and like, and I think the only way to do that is to just engage with it.[00:32:34] Sam Schillace: You just have to like, build stuff. If you're, I can't tell you the number of execs I've talked to who have opinions about AI and have not sat down with anything for more than 10 minutes to like actually try to get anything done. You know, it's just like, it's incomprehensible to me that you can watch this stuff through the lens of like the press and forgive me, podcasts and feel like you actually know what you're talking about.[00:32:59] Sam Schillace: Like, you have to like build stuff. Like, break your nose on stuff and like figure out what doesn't work.[00:33:04] swyx: Yeah, I mean, I view us as a starting point, as a way for people to get exposure on what we're doing. They should be looking at, and they still have to do the work as do we. Yeah, I'll basically endorse, like, I think most of the laws.[00:33:18] Multimodality vs "Text is the universal wire protocol"[00:33:18] swyx: I think the one I question the most now is text is the universal wire protocol. There was a very popular article, a text that used a universal interface by Rune who now works at OpenAI. And I, actually, we just, we just dropped a podcast with David Luan, who's CEO of Adept now, but he was VP of Eng, and he pitched Kevin Scott for the original Microsoft investment in OpenAI.[00:33:40] swyx: Where he's basically pivoting to or just betting very hard on multimodality. I think that's something that we don't really position very well. I think this year, we're trying to all figure it out. I don't know if you have an updated perspective on multi modal models how that affects agents[00:33:54] Sam Schillace: or not.[00:33:55] Sam Schillace: Yeah, I mean, I think the multi I think multi modality is really important. And I, I think it's only going to get better from here. For sure. Yeah, the text is the universal wire protocol. You're probably right. Like, I don't know that I would defend that one entirely. Note that it doesn't say English, right?[00:34:09] Sam Schillace: Like it's, it's not, that's even natural language. Like there's stuff like Steve Luko, who's the guy who created TypeScript, created TypeChat, right? Which is this like way to get LLMs to be very precise and return syntax and correct JavaScript. So like, I, yeah, I think like multimodality, like, I think part of the challenge with it is like, it's a little harder to access.[00:34:30] Sam Schillace: Programatically still like I think you know and I do think like, You know like when when like dahly and stuff started to come Out I was like, oh photoshop's in trouble cuz like, you know I'm just gonna like describe images And you don't need photos of Photoshop anymore Which hasn't played out that way like they're actually like adding a bunch of tools who look like you want to be able to you know for multimodality be really like super super charged you need to be able to do stuff like Descriptively, like, okay, find the dog in this picture and mask around it.[00:34:58] Sam Schillace: Okay, now make it larger and whatever. You need to be able to interact with stuff textually, which we're starting to be able to do. Like, you can do some of that stuff. But there's probably a whole bunch of new capabilities that are going to come out that are going to make it more interesting.[00:35:11] Sam Schillace: So, I don't know, like, I suspect we're going to wind up looking kind of like Unix at the end of the day, where, like, there's pipes and, like, Stuff goes over pipes, and some of the pipes are byte character pipes, and some of them are byte digital or whatever like binary pipes, and that's going to be compatible with a lot of the systems we have out there, so like, that's probably still And I think there's a lot to be gotten from, from text as a language, but I suspect you're right.[00:35:37] Sam Schillace: Like that particular law is not going to hold up super well. But we didn't have multimodal going when I wrote it. I'll take one out as well.[00:35:46] Azure OpenAI vs Microsoft Research vs Microsoft AI Division[00:35:46] swyx: I know. Yeah, I mean, the innovations that keep coming out of Microsoft. You mentioned multi agent. I think you're talking about autogen.[00:35:52] swyx: But there's always research coming out of MSR. Yeah. PHY1, PHY2. Yeah, there's a bunch of[00:35:57] Sam Schillace: stuff. Yeah.[00:35:59] swyx: What should, how should the outsider or the AI engineer just as a sort of final word, like, How should they view the Microsoft portfolio things? I know you're not here to be a salesman, but What, how do you explain You know, Microsoft's AI[00:36:12] Sam Schillace: work to people.[00:36:13] Sam Schillace: There's a lot of stuff going on. Like, first of all, like, I should, I'll be a little tiny bit of a salesman for, like, two seconds and just point out that, like, one of the things we have is the Microsoft for Startups Founders Hub. So, like, you can get, like, Azure credits and stuff from us. Like, up to, like, 150 grand, I think, over four years.[00:36:29] Sam Schillace: So, like, it's actually pretty easy to get. Credit you can start, I 500 bucks to start or something with very little other than just an idea. So like there's, that's pretty cool. Like, I like Microsoft is very much all in on AI at, at many levels. And so like that, you mentioned, you mentioned Autogen, like, So I sit in the office of the CTO, Microsoft Research sits under him, under the office of the CTO as well.[00:36:51] Sam Schillace: So the Autogen group came out of somebody in MSR, like in that group. So like there's sort of. The spectrum of very researchy things going on in research, where we're doing things like Phi, which is the small language model efficiency exploration that's really, really interesting. Lots of very technical folks there that are building different kinds of models.[00:37:10] Sam Schillace: And then there's like, groups like my group that are kind of a little bit in the middle that straddle product and, and, and research and kind of have a foot in both worlds and are trying to kind of be a bridge into the product world. And then there's like a whole bunch of stuff on the product side of things.[00:37:23] Sam Schillace: So there's. All the Azure OpenAI stuff, and then there's all the stuff that's in Office and Windows. And I, so I think, like, the way, I don't know, the way to think about Microsoft is we're just powering AI at every level we can, and making it as accessible as we can to both end users and developers.[00:37:42] Sam Schillace: There's this really nice research arm at one end of that spectrum that's really driving the cutting edge. The fee stuff is really amazing. It broke the chinchella curves. Right, like we didn't, that's the textbooks are all you need paper, and it's still kind of controversial, but like that was really a surprising result that came out of MSR.[00:37:58] Sam Schillace: And so like I think Microsoft is both being a thought leader on one end, on the other end with all the Azure OpenAI, all the Azure tooling that we have, like very much a developer centric, kind of the tinkerer's paradise that Microsoft always was. It's like a great place to come and consume all these things.[00:38:14] Sam Schillace: There's really amazing stuff ideas that we've had, like these very rich, long running, rag based chatbots that we didn't talk about that are like now possible to just go build with Azure AI Studio for yourself. You can build and deploy like a chatbot that's trained on your data specifically, like very easily and things like that.[00:38:31] Sam Schillace: So like there's that end of things. And then there's all this stuff that's in Office, where like, you could just like use the copilots both in Bing, but also just like daily your daily work. So like, it's just kind of everywhere at this point, like everyone in the company thinks about it all the time.[00:38:43] Sam Schillace: There's like no single answer to that question. That was way more salesy than I thought I was capable of, but like, that is actually the genuine truth. Like, it is all the time, it is all levels, it is all the way from really pragmatic, approachable stuff for somebody starting out who doesn't know things, all the way to like Absolutely cutting edge research, silicon, models, AI for science, like, we didn't talk about any of the AI for science stuff, I've seen magical stuff coming out of the research group on that topic, like just crazy cool stuff that's coming, so.[00:39:13] Sam Schillace: You've[00:39:14] swyx: called this since you joined Microsoft. I point listeners to the podcast that you did in 2022, pre ChatGBT with Kevin Scott. And yeah, you've been saying this from the beginning. So this is not a new line of Talk track for you, like you've, you, you've been a genuine believer for a long time.[00:39:28] swyx: And,[00:39:28] Sam Schillace: and just to be clear, like I haven't been at Microsoft that long. I've only been here for like two, a little over two years and you know, it's a little bit weird for me 'cause for a lot of my career they were the competitor and the enemy and you know, it's kind of funny to be here, but like it's really remarkable.[00:39:40] On Satya[00:39:40] Sam Schillace: It's going on. I really, really like Satya. I've met a, met and worked with a bunch of big tech CEOs and I think he's a genuinely awesome person and he's fun to work with and has a really great. vision. So like, and I obviously really like Kevin, we've been friends for a long time. So it's a cool place.[00:39:56] Sam Schillace: I think there's a lot of interesting stuff. We[00:39:57] swyx: have some awareness Satya is a listener. So obviously he's super welcome on the pod anytime. You can just drop in a good word for us.[00:40:05] Sam Schillace: He's fun to talk to. It's interesting because like CEOs can be lots of different personalities, but he is you were asking me about how I'm like, so hands on and engaged.[00:40:14] Sam Schillace: I'm amazed at how hands on and engaged he can be given the scale of his job. Like, he's super, super engaged with stuff, super in the details, understands a lot of the stuff that's going on. And the science side of things, as well as the product and the business side, I mean, it's really remarkable. I don't say that, like, because he's listening or because I'm trying to pump the company, like, I'm, like, genuinely really, really impressed with, like, how, what he's, like, I look at him, I'm like, I love this stuff, and I spend all my time thinking about it, and I could not do what he's doing.[00:40:42] Sam Schillace: Like, it's just incredible how much you can get[00:40:43] Ben Dunphy: into his head.[00:40:44] Sam at AI Leadership Track[00:40:44] Ben Dunphy: Sam, it's been an absolute pleasure to hear from you here, hear the war stories. So thank you so much for coming on. Quick question though you're here on the podcast as the presenting sponsor for the AI Engineer World's Fair, will you be taking the stage there, or are we going to defer that to Satya?[00:41:01] Ben Dunphy: And I'm happy[00:41:02] Sam Schillace: to talk to folks. I'm happy to be there. It's always fun to like I, I like talking to people more than talking at people. So I don't love giving keynotes. I love giving Q and A's and like engaging with engineers and like. I really am at heart just a builder and an engineer, and like, that's what I'm happiest doing, like being creative and like building things and figuring stuff out.[00:41:22] Sam Schillace: That would be really fun to do, and I'll probably go just to like, hang out with people and hear what they're working on and working about.[00:41:28] swyx: The AI leadership track is just AI leaders, and then it's closed doors, so you know, more sort of an unconference style where people just talk[00:41:34] Sam Schillace: about their issues.[00:41:35] Sam Schillace: Yeah, that would be, that's much more fun. That's really, because we are really all wrestling with this, trying to figure out what it means. Right. So I don't think anyone I, the reason I have the Scalache laws kind of give me the willies a little bit is like, I, I was joking that we should just call them the Scalache best guesses, because like, I don't want people to think that that's like some iron law.[00:41:52] Sam Schillace: We're all trying to figure this stuff out. Right. Like some of it's right. Some it's not right. It's going to be messy. We'll have false starts, but yeah, we're all working it out. So that's the fun conversation. All[00:42:02] Ben Dunphy: right. Thanks for having me. Yeah, thanks so much for coming on.[00:42:05] Final Plug for Tickets & CFP[00:42:05] Ben Dunphy: For those of you listening, interested in attending AI Engineer World's Fair, you can purchase your tickets today.[00:42:11] Ben Dunphy: Learn more about the event at ai. engineer. You can purchase even group discounts. If you purchase four more tickets, use the code GROUP, and one of those four tickets will be free. If you want to speak at the event CFP closes April 8th, so check out the link at ai. engineer, send us your proposals for talks, workshops, or discussion groups.[00:42:33] Ben Dunphy: So if you want to come to THE event of the year for AI engineers, the technical event of the year for AI engineers this is at June 25, 26, and 27 in San Francisco. That's it! Get full access to Latent Space at www.latent.space/subscribe

For enterprise-grade architecture, data privacy, and control, build your own private ChatGPT style app using OpenAI GPT models with the Azure AI services. You can start with open-source samples for design and the user interface along with Azure containers or Azure App Service, then customize what it can do with Azure AI Studio. Importantly, to ensure its enterprise-ready with the right security and scale considerations in place, Azure Landing Zones provide the architectural best practices for apps like this. Landing Zone Accelerators simplify deployment for dedicated app-level subscriptions and scoped security and broader policies. Layering these recommendations and approaches helps ensure that your ChatGPT style private app meets enterprise requirements. Microsoft Azure expert, Matt McSpirit, shares how to build your own private ChatGPT-style apps and make them enterprise-ready using Azure Landing Zones.   ► QUICK LINKS: 00:00 - Build your own private ChatGPT  00:43 - Benefits of building your own private chat experience  02:07 - Use an open source ChatGPT-style app sample  03:16 - Connect your ChatGPT-style experiences  04:12 - Enhance chat experience with Azure AI Studio  04:45 - Architecture and security with Azure Services  06:44 - Landing Zone configuration and accelerators  07:49 - Wrap Up   ► Link References: Go to the Azure OpenAI Landing Zone at https://aka.ms/OpenAILZ Get ChatBot UI open-source code in GitHub at https://aka.ms/GitHubChatBotUI To use Bicep templates, go to https://aka.ms/LZ  Check out Landing Zone accelerators at https://aka.ms/LZAccelerators Watch our show on Azure AI Studio at https://aka.ms/AIStudioMechanics Watch our show on Azure Landing Zones at https://aka.ms/LandingZoneMechanics   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Azure AI Studio is an all-in-one AI platform that simplifies the development, evaluation, and deployment of generative AI solutions and custom copilots1. It provides a unified hub for building, managing, and fine-tuning AI models, making it easier for developers of all skill levels to create and deploy intelligent applications. Whether you're working on natural language processing, computer vision, or other AI tasks, Azure AI Studio streamlines the process and offers a comprehensive suite of tools and services to support your AI projects. Sam takes the lead covering: What is AI and what do organizations use large language models for? What is Azure AI studio, and what problems is it solving? Sam's initial impressions of using Azure AI studio for the first time What did you think of this episode? Give us some feedback via our contact form, Or leave us a voice message in the bottom right corner of our site.

In this episode, Tobias and Jussi reflect a bit on options for building Generative AI with the lens of available studios like the Azure AI Studio and the Microsoft Copilot Studio. Jussi also asks Tobias a question about useless things you'd have an endless supply of.(00:00) - Intro and catching up.(01:53) - Show content starts.Show links- Azure AI Studio- Microsoft Copilot Studio- Using Ollama (Jussi)- LM Studio

Our 148th episode with a summary and discussion of last week's big AI news! Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ Email us your questions and feedback at contact@lastweekin.ai Timestamps + links: (00:00:00) Intro / Banter Tools & Apps(00:02:43) Google Deepmind unveils its most advanced AI image generator, Imagen 2 (00:08:21) Anthropic will help users if they get sued for copyright infringement (00:13:50) Midjourney Alpha is here with AI image generations on the web (00:16:34) Instagram introduces gen-AI powered background editing tool (00:17:09) Microsoft drastically expands Azure AI Studio to include Llama 2 Model-as-a-Service, GPT-4 Turbo with Vision (00:18:54) ChatGPT Is Apparently Becoming Lazy as It Has Started Asking Users to Solve Their Own Problems (00:22:17) You can create your own AI songs with this new Copilot extension (00:23:57) Stability AI announces paid membership for commercial use of its models Applications & Business(00:25:42) ByteDance is secretly using OpenAI's tech to build a competitor (00:31:55) Intel unveils new AI chip to compete with Nvidia and AMD (00:36:36) Chinese chip-related companies shutting down with record speed — 10,900, or around 30 per day, shut down in 2023 (00:40:11) TSMC mentions 1.4nm process tech for the first time, says 2nm remains on track (00:42:57) Meta has done something that will get Nvidia and AMD very, very worried — it gave up on GPU and CPU to take a RISC-y route for AI training and inference acceleration (00:46:17) Nvidia rushes to deliver modified AI GPU chips to China customers, allegedly places 'Super Hot Run' priority order with TSMC (00:49:17) Sam Altman's OpenAI agrees to pay German media giant Axel Springer for using its content to train AI models Projects & Open Source(00:52:20) Introducing DeciLM-7B: The Fastest and Most Accurate 7 Billion-Parameter LLM to Date (00:57:27) Introducing Stable Zero123: Quality 3D Object Generation from Single Images Research & Advancements(01:00:42) FunSearch: Making new discoveries in mathematical sciences using Large Language Models (01:09:12) OpenAI Demos a Control Method for Superintelligent AI (01:16:41) Cheating Fears Over Chatbots Were Overblown, New Research Suggests (01:18:13) SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention (01:20:04) CogAgent: A Visual Language Model for GUI Agents (01:21:10) Limits to the Energy Efficiency of CMOS Microprocessors Policy & Safety(01:24:24) OpenAI announces ‘Preparedness Framework' to track and mitigate AI risks (01:32:08) Pro-China YouTube Network Used A.I. to Malign U.S., Report Finds (01:37:07) AI is a danger to the financial system, regulators warn for the first time (01:38:42) Anonymous Sudan hacking group sets sights on ChatGPT (01:40:33) Scenario planning for an AGI future (01:42:51) The widening web of effective altruism in AI security Synthetic Media & Art(01:49:22) Facebook Is Being Overrun With Stolen, AI-Generated Images That People Think Are Real (01:52:34) Pakistan's former prime minister is using an AI voice clone to campaign from prison

Build and deploy copilot style apps that leverage the power of both GPT-4 Turbo with Vision and Azure AI Vision and Search in Microsoft's Azure AI Studio. Enable direct lookups from image inputs over your organizational data to ground generative AI responses. This marks a significant improvement in the accuracy of natural language processing and image recognition tasks to enable new generative AI scenarios. Video inputs are also uniquely supported when you combine GPT-4 Turbo with Vision and Azure AI Vision. Seth Juarez, Principal Program Manager for Azure AI, shares how it's easy to build and orchestrate powerful copilot style apps.   ► QUICK LINKS: 00:00 - GPT-4 Turbo with Vision + Azure AI Vision 00:42 - Baseline capabilities of GPT-4 Turbo with Vision 02:43 - Direct lookups of image and video data 04:53 - See the two combined: Demo 05:52 - How to build it 07:17 - See the code behind your app 08:07 - Wrap up   ► Link References Start using Azure AI Studio today at https://ai.azure.com Watch a detailed overview at https://aka.ms/AzureAIStudioMechanics Check out our QuickStart guides at https://aka.ms/LearnAIStudio     ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Build, test, deploy, and monitor your generative AI apps at scale from one place with Azure AI Studio. Access models in the Azure OpenAI service from Meta, NVIDIA and Microsoft Research, as well hundreds of open-source models. Integrate your own data across multiple data sets to ground your model, which is made easier through direct integration with OneLake in Microsoft Fabric. It uses shortcuts to let you bring in virtualized data sets across your data estate without having to move them. Use Azure AI Studio for full lifecycle development from a unified playground for prompt engineering, to pre-built Azure AI skills to build multi-modal applications, using language, vision, and speech, as well as Search, which includes hybrid with semantic ranking for more precise information retrieval. Test your AI applications for quality and safety with built-in evaluation, and use a prompt flow tool for custom orchestration, as well as overarching controls with Responsible AI content filters for safety. Seth Juarez, Principal Program Manager for Azure AI, gives you an overview of Azure AI Studio.   ► QUICK LINKS: 00:00 - Build your own copilots in Azure AI Studio 01:52 - Copilot app running as a chatbot| 03:53 - Retrieval augmented generation grounded on your data 04:54 - Experiment with prompts: Multi-modality 06:47 - Advanced capabilities: Prompt flow 08:58 - Ensure quality and safety of responses 10:09 - Wrap up   ► Link References Start using Azure AI Studio today at https://ai.azure.com  Check out our QuickStart guides at https://aka.ms/LearnAIStudio     ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft.  • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Earlier this year, Microsoft announced courseware and studying materials for Azure OpenAI. We look at this 1-day course and reflect on the content, who this course is best suited for, and what one should learn. Also, Jussi asks Tobi an unexpected question.(00:00) - Intro and catching up.(02:18) - Show content starts.Show links- Announcing Azure AI Studio preview (microsoft.com)- Azure AI Studio: ai.azure.com- Copilots: See them all in the Book of News- AI transformation and the technology driving change- What's new in Azure AI Platforms – Charting the Future with Innovative AI and ML- Security Adoption Framework- Cloud PKI- Windows App- Microsoft SSE- Give us feedback!

Join the discord: https://discord.gg/Gcc8FXPKGet the merch: https://thisdayinaimerch.comSupport the show by leaving a like, comment or sharing with a friend. We appreciate it!DESCRIPTION:=======This week we discuss what's happened since OpenAI's Dev Day: Sam Altman has stopped ChatGPT Plus Subscriptions Due to Demand, GPTs have been leaking their prompts and data, and thousands of people have been busy creating GPTs... but are they any good? We also discuss Microsoft AI Ignite and share our thoughts on Microsoft's new Azure Hardware, Microsoft CoPilot Studio, Azure AI Studio and all the other Microsoft AI Ignite News. We discuss can Open-Source AI Now Compete with GPT-4? And Cover Google Lyria Music AI and Meta's EMU Video and Emu Edit.CHAPTERS:=======00:00 - OpenAI Stops Taking GPT Plus Subscribers. Subscription for sale on eBay1:30 - Are GPTs Just a New Enthusiasm Phase, The Future or All Hype?16:28 - Will GPTs just Become Functions and Processes with Proprietary Data?22:53 - Early GPT Data Leaks & Unsafe Prompts24:05 - Monetization of GPTs29:24 - Microsoft AI Ignite: Azure Chips, Microsoft CoPilot Studio, Azure AI Studio43:41 - Can Open-Source AI Now Compete with GPT-4? 48:27 - The OpenAI Dilemma: Microsoft & Open Source Threats50:58 - What are The Killer Use Cases for AI?56:50 - Google Lyria: The Future of Music Creation?1:02:52 - Meta's EMU Video and Emu Edit AI research milestones.SOURCES:=======https://twitter.com/sdand/status/1724629169483719104/photo/1https://www.searchenginejournal.com/openai-pauses-new-chatgpt-plus-subscriptions-due-to-surge-in-demand/501360/https://twitter.com/levelsio/status/1722744926004269309?s=46https://twitter.com/fzaslavskiy/status/1723731923149754542?s=46https://deepmind.google/discover/blog/transforming-the-future-of-music-creation/https://ai.meta.com/blog/emu-text-to-video-generation-image-editing-research/https://emu-video.metademolab.com/https://www.youtube.com/watch?v=eFkCGTb7Z8Ehttps://www.theverge.com/2023/11/15/23960417/microsoft-copilot-ai-studio-custom-gpts-chatgpt-openaihttps://www.theverge.com/2023/11/15/23960471/microsoft-windows-ai-studio-nvidia-developershttps://huggingface.co/TheBloke/goliath-120b-GGUF?text=Hey+my+name+is+Julien%21+How+are+you%3Fhttps://www.reddit.com/r/LocalLLaMA/https://twitter.com/hamelhusain/status/1722637811176902779?s=46

Paul and Richard are at Microsoft Ignite 2023 and just watched the keynote! Leo Laporte chats with them to discuss the clarified rebranding of Copilot, some new AI features in Windows 365, Microsoft Loop's availability, the release of .NET 8, two decades of Patch Tuesday, a neat Xbox Series bundle discount for Black Friday, and more! Microsoft Ignite (Final) Copilot rebranding clarifies the naming changes announced in September Copilot for Microsoft 365 adds plug-in support, more Windows 11: Windows AI Studio announced, Dev Home and WSL are updated New AI capabilities in Windows 365 Microsoft Loop is now available New Teams now GA, 320 million users - Mesh in Jan 2024 Clipchamp and Microsoft Designer come to Microsoft 365 commercial Microsoft announces its first custom AI chipsets for the Azure datacenter Dev: .NET Conf Microsoft releases .NET 8 with .NET Aspire Windows 11 Microsoft releases 23H2 for the fourth time? One tiny bit of OneDrive de-ensh*ttification does not address the bigger issues Patch Tuesday turns 20, Microsoft couldn't care less The new Outlook: People, we have a roadmap! Microsoft Store now lets you decide where to install games Copilot in Microsoft Shopping, AI review summaries come to Bing and Edge Microsoft, more AI Microsoft will not challenge its gatekeeper designation in the EU Google brings generative AI search to 120+ new countries Google will ID AI-based videos in YouTube Google Photos gets some cool AI organizational features Xbox Xbox Series X|S are discounted by $50 for Black Friday Halo Infinite goes retro too, adds Halo 3 playlist Here are more titles coming to Xbox Game Pass Here comes the OLED Steam Deck PS5 "Slim" is now available in the US - Sony unlikely to hit PS5 sales targets Amazon lays off gaming staff, will refine Prime Gaming perks Tips & Picks Tip of the week: Google's Black Friday sale looks solid App pick of the week: Microsoft Loop RunAs Radio this week: Microsoft Entra Security Service Edge with Richard Hicks Brown liquor pick of the week: Makers Mark Cellar Aged Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: hid.link/ww canary.tools/twit - use code: TWIT Melissa.com/twit

Paul and Richard are at Microsoft Ignite 2023 and just watched the keynote! Leo Laporte chats with them to discuss the clarified rebranding of Copilot, some new AI features in Windows 365, Microsoft Loop's availability, the release of .NET 8, two decades of Patch Tuesday, a neat Xbox Series bundle discount for Black Friday, and more! Microsoft Ignite (Final) Copilot rebranding clarifies the naming changes announced in September Copilot for Microsoft 365 adds plug-in support, more Windows 11: Windows AI Studio announced, Dev Home and WSL are updated New AI capabilities in Windows 365 Microsoft Loop is now available New Teams now GA, 320 million users - Mesh in Jan 2024 Clipchamp and Microsoft Designer come to Microsoft 365 commercial Microsoft announces its first custom AI chipsets for the Azure datacenter Dev: .NET Conf Microsoft releases .NET 8 with .NET Aspire Windows 11 Microsoft releases 23H2 for the fourth time? One tiny bit of OneDrive de-ensh*ttification does not address the bigger issues Patch Tuesday turns 20, Microsoft couldn't care less The new Outlook: People, we have a roadmap! Microsoft Store now lets you decide where to install games Copilot in Microsoft Shopping, AI review summaries come to Bing and Edge Microsoft, more AI Microsoft will not challenge its gatekeeper designation in the EU Google brings generative AI search to 120+ new countries Google will ID AI-based videos in YouTube Google Photos gets some cool AI organizational features Xbox Xbox Series X|S are discounted by $50 for Black Friday Halo Infinite goes retro too, adds Halo 3 playlist Here are more titles coming to Xbox Game Pass Here comes the OLED Steam Deck PS5 "Slim" is now available in the US - Sony unlikely to hit PS5 sales targets Amazon lays off gaming staff, will refine Prime Gaming perks Tips & Picks Tip of the week: Google's Black Friday sale looks solid App pick of the week: Microsoft Loop RunAs Radio this week: Microsoft Entra Security Service Edge with Richard Hicks Brown liquor pick of the week: Makers Mark Cellar Aged Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: hid.link/ww canary.tools/twit - use code: TWIT Melissa.com/twit

Paul and Richard are at Microsoft Ignite 2023 and just watched the keynote! Leo Laporte chats with them to discuss the clarified rebranding of Copilot, some new AI features in Windows 365, Microsoft Loop's availability, the release of .NET 8, two decades of Patch Tuesday, a neat Xbox Series bundle discount for Black Friday, and more! Microsoft Ignite (Final) Copilot rebranding clarifies the naming changes announced in September Copilot for Microsoft 365 adds plug-in support, more Windows 11: Windows AI Studio announced, Dev Home and WSL are updated New AI capabilities in Windows 365 Microsoft Loop is now available New Teams now GA, 320 million users - Mesh in Jan 2024 Clipchamp and Microsoft Designer come to Microsoft 365 commercial Microsoft announces its first custom AI chipsets for the Azure datacenter Dev: .NET Conf Microsoft releases .NET 8 with .NET Aspire Windows 11 Microsoft releases 23H2 for the fourth time? One tiny bit of OneDrive de-ensh*ttification does not address the bigger issues Patch Tuesday turns 20, Microsoft couldn't care less The new Outlook: People, we have a roadmap! Microsoft Store now lets you decide where to install games Copilot in Microsoft Shopping, AI review summaries come to Bing and Edge Microsoft, more AI Microsoft will not challenge its gatekeeper designation in the EU Google brings generative AI search to 120+ new countries Google will ID AI-based videos in YouTube Google Photos gets some cool AI organizational features Xbox Xbox Series X|S are discounted by $50 for Black Friday Halo Infinite goes retro too, adds Halo 3 playlist Here are more titles coming to Xbox Game Pass Here comes the OLED Steam Deck PS5 "Slim" is now available in the US - Sony unlikely to hit PS5 sales targets Amazon lays off gaming staff, will refine Prime Gaming perks Tips & Picks Tip of the week: Google's Black Friday sale looks solid App pick of the week: Microsoft Loop RunAs Radio this week: Microsoft Entra Security Service Edge with Richard Hicks Brown liquor pick of the week: Makers Mark Cellar Aged Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: hid.link/ww canary.tools/twit - use code: TWIT Melissa.com/twit

Paul and Richard are at Microsoft Ignite 2023 and just watched the keynote! Leo Laporte chats with them to discuss the clarified rebranding of Copilot, some new AI features in Windows 365, Microsoft Loop's availability, the release of .NET 8, two decades of Patch Tuesday, a neat Xbox Series bundle discount for Black Friday, and more! Microsoft Ignite (Final) Copilot rebranding clarifies the naming changes announced in September Copilot for Microsoft 365 adds plug-in support, more Windows 11: Windows AI Studio announced, Dev Home and WSL are updated New AI capabilities in Windows 365 Microsoft Loop is now available New Teams now GA, 320 million users - Mesh in Jan 2024 Clipchamp and Microsoft Designer come to Microsoft 365 commercial Microsoft announces its first custom AI chipsets for the Azure datacenter Dev: .NET Conf Microsoft releases .NET 8 with .NET Aspire Windows 11 Microsoft releases 23H2 for the fourth time? One tiny bit of OneDrive de-ensh*ttification does not address the bigger issues Patch Tuesday turns 20, Microsoft couldn't care less The new Outlook: People, we have a roadmap! Microsoft Store now lets you decide where to install games Copilot in Microsoft Shopping, AI review summaries come to Bing and Edge Microsoft, more AI Microsoft will not challenge its gatekeeper designation in the EU Google brings generative AI search to 120+ new countries Google will ID AI-based videos in YouTube Google Photos gets some cool AI organizational features Xbox Xbox Series X|S are discounted by $50 for Black Friday Halo Infinite goes retro too, adds Halo 3 playlist Here are more titles coming to Xbox Game Pass Here comes the OLED Steam Deck PS5 "Slim" is now available in the US - Sony unlikely to hit PS5 sales targets Amazon lays off gaming staff, will refine Prime Gaming perks Tips & Picks Tip of the week: Google's Black Friday sale looks solid App pick of the week: Microsoft Loop RunAs Radio this week: Microsoft Entra Security Service Edge with Richard Hicks Brown liquor pick of the week: Makers Mark Cellar Aged Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: hid.link/ww canary.tools/twit - use code: TWIT Melissa.com/twit

Paul and Richard are at Microsoft Ignite 2023 and just watched the keynote! Leo Laporte chats with them to discuss the clarified rebranding of Copilot, some new AI features in Windows 365, Microsoft Loop's availability, the release of .NET 8, two decades of Patch Tuesday, a neat Xbox Series bundle discount for Black Friday, and more! Microsoft Ignite (Final) Copilot rebranding clarifies the naming changes announced in September Copilot for Microsoft 365 adds plug-in support, more Windows 11: Windows AI Studio announced, Dev Home and WSL are updated New AI capabilities in Windows 365 Microsoft Loop is now available New Teams now GA, 320 million users - Mesh in Jan 2024 Clipchamp and Microsoft Designer come to Microsoft 365 commercial Microsoft announces its first custom AI chipsets for the Azure datacenter Dev: .NET Conf Microsoft releases .NET 8 with .NET Aspire Windows 11 Microsoft releases 23H2 for the fourth time? One tiny bit of OneDrive de-ensh*ttification does not address the bigger issues Patch Tuesday turns 20, Microsoft couldn't care less The new Outlook: People, we have a roadmap! Microsoft Store now lets you decide where to install games Copilot in Microsoft Shopping, AI review summaries come to Bing and Edge Microsoft, more AI Microsoft will not challenge its gatekeeper designation in the EU Google brings generative AI search to 120+ new countries Google will ID AI-based videos in YouTube Google Photos gets some cool AI organizational features Xbox Xbox Series X|S are discounted by $50 for Black Friday Halo Infinite goes retro too, adds Halo 3 playlist Here are more titles coming to Xbox Game Pass Here comes the OLED Steam Deck PS5 "Slim" is now available in the US - Sony unlikely to hit PS5 sales targets Amazon lays off gaming staff, will refine Prime Gaming perks Tips & Picks Tip of the week: Google's Black Friday sale looks solid App pick of the week: Microsoft Loop RunAs Radio this week: Microsoft Entra Security Service Edge with Richard Hicks Brown liquor pick of the week: Makers Mark Cellar Aged Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: hid.link/ww canary.tools/twit - use code: TWIT Melissa.com/twit

Paul and Richard are at Microsoft Ignite 2023 and just watched the keynote! Leo Laporte chats with them to discuss the clarified rebranding of Copilot, some new AI features in Windows 365, Microsoft Loop's availability, the release of .NET 8, two decades of Patch Tuesday, a neat Xbox Series bundle discount for Black Friday, and more! Microsoft Ignite (Final) Copilot rebranding clarifies the naming changes announced in September Copilot for Microsoft 365 adds plug-in support, more Windows 11: Windows AI Studio announced, Dev Home and WSL are updated New AI capabilities in Windows 365 Microsoft Loop is now available New Teams now GA, 320 million users - Mesh in Jan 2024 Clipchamp and Microsoft Designer come to Microsoft 365 commercial Microsoft announces its first custom AI chipsets for the Azure datacenter Dev: .NET Conf Microsoft releases .NET 8 with .NET Aspire Windows 11 Microsoft releases 23H2 for the fourth time? One tiny bit of OneDrive de-ensh*ttification does not address the bigger issues Patch Tuesday turns 20, Microsoft couldn't care less The new Outlook: People, we have a roadmap! Microsoft Store now lets you decide where to install games Copilot in Microsoft Shopping, AI review summaries come to Bing and Edge Microsoft, more AI Microsoft will not challenge its gatekeeper designation in the EU Google brings generative AI search to 120+ new countries Google will ID AI-based videos in YouTube Google Photos gets some cool AI organizational features Xbox Xbox Series X|S are discounted by $50 for Black Friday Halo Infinite goes retro too, adds Halo 3 playlist Here are more titles coming to Xbox Game Pass Here comes the OLED Steam Deck PS5 "Slim" is now available in the US - Sony unlikely to hit PS5 sales targets Amazon lays off gaming staff, will refine Prime Gaming perks Tips & Picks Tip of the week: Google's Black Friday sale looks solid App pick of the week: Microsoft Loop RunAs Radio this week: Microsoft Entra Security Service Edge with Richard Hicks Brown liquor pick of the week: Makers Mark Cellar Aged Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/windows-weekly Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Sponsors: hid.link/ww canary.tools/twit - use code: TWIT Melissa.com/twit

Advitya Gemawat ( https://www.microsoft.com/en-us/research/people/agemawat/ ) is a Machine Learning Research Engineer who currently works in the Responsible AI (RAI) team as part of the Azure Machine Learning (AML) and Azure AI Studio product lines, in the Azure AI Platform org. Prior to the RAI team, he was part of the 4th cohort of the Microsoft AI Development Acceleration Program (MAIDAP), where he worked with Azure Quality, Microsoft's Gray Systems Lab (GSL), Azure Edge & Platform, and Azure Machine Learning (AML). His research experience is at the intersection of Machine Learning & Scalable Systems. His work with GSL was identified as the Microsoft Global Hackathon Executive Challenge 2022 Winner and recipient of the Best Demonstration Award at VLDB 2022. His work with the AML team on expanding the RAI Dashboard to support Object Detection models was released in Public Preview at Microsoft Build 2023. Prior to Microsoft, Advitya graduated from UC San Diego with a Data Science major, where he contributed to Project Cerebro (a Layered Data Platform for scalable Deep Learning) and was advised by Professor Arun Kumar. There, his research won the 2021 ACM SIGMOD Student Research Abstract Competition and the Best Project Award as part of UCSD's Halıcıoğlu Data Science Institute (HDSI) Undergraduate Scholarship Program HDSI Scholarship Program. As part of an internship with VMware, his work on Massively Parallel Automated Model Building for Deep Learning was included in Apache MADlib 1.18.0 release. Opinions expressed in the video solely reflect Advitya's views and not the views of his employer. Follow Advitya on the handles below: LinkedIn: linkedin.com/in/agemawat YouTube: youtube.com/@AdvityaGemawat Microsoft Research: microsoft.com/research/people/agemawat Support the show

In Episode 336, Ben and Scott discuss some of the marquee announcements from Microsoft Build 2023. Like what you hear and want to support the show? Check out our membership options. Show Notes Build Book of News Full Keynote | Satya Nadella at Microsoft Build 2023 Microsoft's Azure AI Studio lets developers build their own AI 'copilots' Copilot in Power BI technical preview Introducing Microsoft Fabric and Copilot in Microsoft Power BI Microsoft Fabric licenses Microsoft launches Fabric, a new end-to-end data and analytics platform What is Microsoft Fabric? Microsoft Fabric terminology Video https://youtu.be/0ml2d1OutRE About the sponsors Intelligink utilizes their skill and passion for the Microsoft cloud to empower their customers with the freedom to focus on their core business. They partner with them to implement and administer their cloud technology deployments and solutions. Visit Intelligink.com for more info.

Microsoft's Windows Copilot, Spotify's use of AI for podcast ads, and Azure AI Studio's capabilities for businesses. We also dive into three research papers on digital chemistry, controllable text-to-video generation, and arithmetic tasks. Contact:  sergi@earkind.com Timestamps: 00:34 Introduction 02:02 Microsoft announces Windows Copilot, an AI ‘personal assistant' for Windows 11 03:46 Spotify may use AI to make host-read podcast ads that sound like real people 05:22 Microsoft's Azure AI Studio lets developers build their own AI ‘copilots' 07:06 Fake sponsor 09:20 ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry 10:59 Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models 12:31 Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks 14:36 Outro

At Microsoft Build 2023, CEO Satya Nadella shares insights on the new era of AI and announces the launch of Windows Copilot, Azure AI Studio, and Microsoft Fabric, and CTO Kevin Scott is joined by OpenAI's Greg Brockman to explore how Microsoft and OpenAI's full-stack AI platform empowers developers and outlines a framework for building AI apps and copilots. Hosts: Leo Laporte and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/twit-news. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: GO.ACILEARNING.COM/TWIT

At Microsoft Build 2023, CEO Satya Nadella shares insights on the new era of AI and announces the launch of Windows Copilot, Azure AI Studio, and Microsoft Fabric, and CTO Kevin Scott is joined by OpenAI's Greg Brockman to explore how Microsoft and OpenAI's full-stack AI platform empowers developers and outlines a framework for building AI apps and copilots. Hosts: Leo Laporte and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/twit-news. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: GO.ACILEARNING.COM/TWIT

At Microsoft Build 2023, CEO Satya Nadella shares insights on the new era of AI and announces the launch of Windows Copilot, Azure AI Studio, and Microsoft Fabric, and CTO Kevin Scott is joined by OpenAI's Greg Brockman to explore how Microsoft and OpenAI's full-stack AI platform empowers developers and outlines a framework for building AI apps and copilots. Hosts: Leo Laporte and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/twit-news. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: GO.ACILEARNING.COM/TWIT

At Microsoft Build 2023, CEO Satya Nadella shares insights on the new era of AI and announces the launch of Windows Copilot, Azure AI Studio, and Microsoft Fabric, and CTO Kevin Scott is joined by OpenAI's Greg Brockman to explore how Microsoft and OpenAI's full-stack AI platform empowers developers and outlines a framework for building AI apps and copilots. Hosts: Leo Laporte and Richard Campbell Download or subscribe to this show at https://twit.tv/shows/twit-news. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: GO.ACILEARNING.COM/TWIT