Podcasts about Rag

In this episode of Software Engineering Radio, Abhinav Kimothi sits down with host Priyanka Raghavan to explore retrieval-augmented generation (RAG), drawing insights from Abhinav's book, A Simple Guide to Retrieval-Augmented Generation. The conversation begins with an introduction to key concepts, including large language models (LLMs), context windows, RAG, hallucinations, and real-world use cases. They then delve into the essential components and design considerations for building a RAG-enabled system, covering topics such as retrievers, prompt augmentation, indexing pipelines, retrieval strategies, and the generation process. The discussion also touches on critical aspects like data chunking and the distinctions between open-source and pre-trained models. The episode concludes with a forward-looking perspective on the future of RAG and its evolving role in the industry. Brought to you by IEEE Computer Society and IEEE Software magazine.

Explore the cutting-edge world of AI-driven product discovery in e-commerce with this episode's guest, Peter Curran, General Manager of Commerce at Coveo. This episode examines the evolving role of AI technologies, including retrieval-augmented generation, in enhancing the online shopping experience.  From tackling common challenges on platforms like Instagram to the importance of trust in AI adoption, Peter shares compelling examples that illustrate AI's impact on contextual relevance and user experience. Join us as we explore the future of shopping and the collaborative approach required to navigate the rapidly evolving landscape of agentic commerce. Show Highlights: Overcoming e-commerce challenges using AI technologies like retrieval-augmented generation (RAG). The role of AI in improving contextual relevance and providing a seamless shopping experience. The importance of trust and agility in AI adoption within e-commerce platforms. The significance of comprehensive content and user-generated feedback in bridging product discovery and purchase decisions. Examination of how social media influences product discovery, but often does not complete the purchasing journey. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review,” then a quick line with your favorite part of the episode. It only takes a second, and it helps spread the word about the podcast. Supporting Resources: Peter Curran on LinkedIn: https://www.linkedin.com/in/petercurran/  Coveo: https://www.coveo.com/en  Learn more about Agentforce for Commerce: https://www.salesforce.com/commerce/ai/  Join the Commerce Cloud Community: https://sforce.co/commerce-crew *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

Shashank Sripada merges institutional rigor with systemic change. After managing $7B+ in assets and advising the White House, he co-founded Gaia to prove decentralized models can scale equitably. Gaia aims to empower anyone—from individual knowledge workers to domain experts—to build, launch, scale, and monetize their own AI agents. Why you should listen Gaia aims to empower anyone—from individual knowledge workers to domain experts—to build, launch, scale, and monetize their own AI agents. Each agent runs as a Gaia “node,” a lightweight, sandboxed runtime powered by technologies like WasmEdge, fine‑tuned open‑source LLMs, embedding models, vector databases, prompt management, a plugin system, and open APIs. This stack can be deployed anywhere (personal devices, cloud, edge), enabling agents that reflect the creator's own style, knowledge, values, and expertise. Unlike closed‑box SaaS solutions (e.g., GPT‑4), Gaia nodes enable deep customization via fine‑tuning, RAG‑enhanced prompts, schema‑enforced outputs, and domain‑specific knowledge embeddings. This reduces hallucinations, cuts costs, and maintains data privacy. Users can build agents that speak and think like them, tailored to specific domains—far beyond generic LLM capabilities—and can interconnect to ingest external tools, memory systems, or APIs seamlessly. Supporting links Stabull Finance Gaia Andy on Twitter  Brave New Coin on Twitter Brave New Coin If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.   This video is brought to you in partnership with Stabull Finance https://stabull.finance, the #stablecoin #DEX on #Ethereum and #Polygon that allows a growing number of fiat-backed stablecoins to be swapped against each other, liquidity pools, and a liquidity mining program. Make your first swap at https://app.stabull.finance or add liquidity at https://app.stabull.finance/pools

What happens when your 15-person agency runs out of cash and you have to start over from scratch?On this week's episode of The RAG Podcast, I'm joined by Philippa Smith, founder of Silver Swan Recruitment, a luxury staffing agency for ultra-high net worth individuals.After growing her team to 15, COVID and poor cash flow caught up with her. In August 2024, she made the entire team redundant and scaled the business back to just herself.Nine months later, Philippa is now generating more than £1 million in pro-rata EBITDA. She's happier, more focused, and running a business built around lifestyle and profit, not just headcount.In this episode, we cover:How she pivoted her model to charge upfront and improve cash flowWhy personal branding has transformed her client relationshipsThe emotional cost of scaling too fastHow she's using podcasting and community to drive inbound growthThe upside of running a smaller, more agile agencyIf you're questioning whether scale is really the goal, this episode will give you a new perspective.Chapters00:00 Introduction to Silver Swan Recruitment02:04 Philippa's Journey into Recruitment07:52 Transition to Silver Swan Recruitment10:00 Growth and Challenges in Recruitment18:22 The Impact of COVID-19 on Business22:01 Navigating Revenue Challenges24:05 Strategies for Business Development24:17 Building the Team: Structure and Challenges25:08 The Turning Point: Running Out of Money27:19 Facing Reality: Making Tough Decisions30:01 The Aftermath: Adjusting to Change32:10 Rebuilding: A New Business Model34:12 Commitment to Change: Charging Upfront39:04 Success Redefined: Filling Roles Effectively41:21 The Power of Personal Branding46:47 The Power of Podcasting in Recruitment49:00 Building Communities for House Managers52:58 Creating Value Through Events and Networking56:58 The Balance of Work and Personal Life01:01:02 Lessons Learned and Future Aspirations__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for...

Ever wondered how to stop LLMs from hallucinating or making things up? The answer is RAG (Retrieval-Augmented Generation), and it's a critical technique for building reliable, fact-based AI applications.In this episode, Alan sits down with Abhinav Kimothi, Director of Data Science at Sigmoid and author of the Manning book, "A Simple Guide to RAG". Abhinav demystifies this powerful concept, making it accessible for developers and enthusiasts at any level.This is a must-listen for anyone looking to move beyond basic chatbot functionality and build truly intelligent, trustworthy AI.

In this special episode of The Geek in Review, we take the new ChatGPT Advanced Voice Mode for a spin, inviting it to analyze and discuss all 23 episodes from the podcast's 2025 season. The episode kicks off with a high-level overview of the biggest legal tech themes from the year so far. ChatGPT Voice quickly identifies a significant shift toward agentic AI tools—those that go beyond automation to become integrated partners in the legal workflow. These tools are helping firms reimagine service delivery, improve access to justice, and rethink the very structure of their businesses.Throughout the episode, the trio explores consistent trends shared by legal tech leaders in recent episodes. These include the integration of AI into core legal tasks, such as contract review and litigation support; the rise of new business models like value-based pricing; and the ongoing focus on ethical AI use. Specific guests like Feargus MacDaeid and Nnamdi Emelifeonwu (Definely), Atena Reihani (ContractPodAI), and Raghu Ramanathan (Thomson Reuters) are spotlighted for their insights into embedding AI directly into lawyers' existing toolsets to streamline and elevate legal workflows.The conversation then turns to the importance of human oversight in maintaining trust and legality as AI becomes more embedded in legal systems. ChatGPT Voice references Garfield AI's regulated model and various RAG-based solutions to illustrate how combining AI efficiency with human judgment creates responsible innovation. The emergence of AI-native law firms and more flexible pricing models reflects an industry on the cusp of transformation, driven by both technological advancement and client-centered thinking.Marlene and Greg also take a moment to reflect on the human stories behind the tech. They highlight episodes featuring guests like Laura Clayton McDonald, Kenzo Toshima, Wendy Jepsen, and Gabriela Izturiz, who bring servant leadership, change management, behavioral science, and personal purpose into their work. These conversations remind us that innovation in legal tech is as much about people and values as it is about platforms and code.To close out the episode, the hosts pose their signature "crystal ball" question. ChatGPT predicts the legal tech breakthrough of 2025 will be the mainstream adoption of agentic AI systems that proactively support legal professionals in real time. It also shares that its favorite episode was the one featuring Garfield AI and their bold vision of a fully AI-powered law firm handling small claims—a true glimpse of the future. Whether you're curious about cutting-edge workflows or inspired by legal professionals integrating their personal passions into practice, this episode captures a compelling snapshot of where legal tech is headed.Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.] Blue Sky: ⁠⁠@geeklawblog.com⁠⁠ ⁠⁠@marlgeb⁠⁠⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.comMusic: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠ Transcript

01. Ive, David Guetta - Supernova Love (Record Mix) 02. Lufthaus, Sophie Ellis-Bextor - Immortal (Record Mix) 03. Zhu - Faded (Record Mix) 04. Joel Corry, Pickle, Vula - Stay Together (Baby Baby) (Record Mix) 05. Basto! - Gregory's Theme (Record Mix) 06. Riton, Nightcrawlers, Mufasa, Hypeman - Friday (Record Mix) 07. C-Bool, Giang Pham - DJ Is Your Second Name (Record Mix) 08. Twocolors - Heavy Metal Love (Record Mix) 09. Saint Jhn, Imanbek - Roses (Record Mix) 10. Doechii, Dj Dark - Anxiety (Record Mix) 11. Robin Schulz, James Blunt - OK (Record Mix) 12. Calvin Harris, John Newman - Blame! (Record Mix) 13. Gamuel Sori, Lovespeake, Amice - Us (Record Mix) 14. Oliver Heldens, Becky Hill - Gecko (Overdrive) (Record Mix) 15. Zerb, The Chainsmokers, Ink - Addicted (Record Mix) 16. Lunax, Mia Amare - Sweet Harmony (Record Mix) 17. Showtek, Smack, Sam Gray - Take My Heart Away (Record Mix) 18. Nicky Romero, Vikkstar, Alpharock, Oaks - Where Do I Go (Record Mix) 19. 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Armin Van Buuren, Sam Gray - Dream a Little Dream (Record Mix) 38. Martin Garrix - Animals! (Record Mix) 39. Kylie Minogue - Lights Camera Action (Record Mix) 40. Block & Crown, Daisy - Mr Vain (Record Mix) 41. Alok, Ella Eyre, Kenny Dope, Never Dull - Deep Down (Record Mix) 42. Jerome Robins, Karsten Sollors - Don't Stop The Music (Record Mix) 43. Jonas Blue, Jp Cooper - Perfect Strangers (Record Mix) 44. Topcover - First Day (Record Mix) 45. Pascal Letoublon, Leony - Friendships (Record Mix) 46. David Guetta - Family Affair (Dance For Me) (Record Mix) 47. Lola Young, Ted Bear - Messy (Record Mix) 48. Hugel, Topic, Arash, Daecolm - I Adore You (Record Mix) 49. Klaas - The Way (Record Mix) 50. Axwell, Ingrosso - More Than You Know (Record Mix) 51. Richard Grey - At Night (Record Mix) 52. Relanium, Deen West - Leel Lost (Record Mix) 53. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 54. Don Diablo - The Way I Are (Record Mix) 55. Arc North, Cour, New Beat Order, Lunis - Faded (Record Mix) 56. Mark Dann, Giovanni Ricci - Let Me Die (Record Mix) 57. Ian Carey, Michelle Shellers, Manyfew, Joe Stone - Keep On Rising (Record Mix) 58. Dimitri Vegas, Vin Diesel, Zion - Don't Stop The Music (Record Mix) 59. Faul, Wad, Pnau - Changes (Record Mix) 60. Avalan Rokston, Alex Caspian - Something to Believe In (Record Mix) 61. Basto! - I Rave You (Record Mix) 62. Jack Harlow, Dj Dark - Lovin On Me (Record Mix) 63. Robin Schulz, Jasmine Thompson - Sun Goes Down (Record Mix) 64. Kygo, Ava Max, Tiesto - Whatever (Record Mix) 65. Alesso, Calvin Harris - Under Control (Record Mix) 66. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 67. Oneil, Kanvise, Smola - Boys (Record Mix) 68. Bob Sinclar, Steve Edwards, Fisher - World, Hold On (Record Mix) 69. Twocolors, Roe Byrne, Amice - Stereo (Record Mix) 70. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 71. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 72. 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Andriy Burkov talks down dishonest hype and sets realistic expectations for when LLMs, if properly and critically applied, are useful. Although maybe not as AI agents.  Andriy and Kimberly discuss how he uses LLMs as an author; LLMs as unapologetic liars; how opaque training data impacts usability; not knowing if LLMs will save time or waste it; error-prone domains; when language fluency is useless; how expertise maximizes benefit; when some idea is better than no idea; limits of RAG; how LLMs go off the rails; why prompt engineering is not enough; using LLMs for rapid prototyping; and whether language models make good AI agents (in the strictest sense of the word). Andriy Burkov holds a PhD in Artificial Intelligence and is the author of The Hundred Page Machine Learning and Language Models books. His Artificial Intelligence Newsletter reaches 870,000+ subscribers. Andriy was previously the Machine Learning Lead at Talent Neuron and the Director of Data Science (ML) at Gartner. He has never been a Ukrainian footballer. Related Resources The Hundred Page Language Models Book: https://thelmbook.com/ The Hundred Page Machine Learning Book: https://themlbook.com/  True Positive Weekly (newsletter): https://aiweekly.substack.com/  A transcript of this episode is here.

In Folge 179 des eHealth-Podcasts spricht Christian mit Dr. med. Daniela Hütwohl über den ganz konkreten Einsatz von Künstlicher Intelligenz (KI) im Krankenhaus. Dany ist sowohl Oberärztin für Neurologie an den Knappschaft Kliniken-Universitätsklinikum Bochum als auch stellvertretende ärztliche Leiterin des Zentrums für Künstliche Intelligenz, Medizininformatik und Datenwissenschaften. Bevor es um die konkreten Beispiele aus Bochum geht, gibt Christian zunächst eine Übersicht über KI-Anwendungen, die bereits heute im klinischen Alltag etabliert sind oder sich in fortgeschrittener Nutzung befinden: Diagnostische Systeme in der Bildgebung, etwa zur Unterstützung in der Radiologie oder Pathologie. Diese helfen dabei, Diagnosen schneller und mit höherer Präzision zu stellen. Chatbots zum Zugriff auf medizinische Akten und Handbücher, die in natürlicher Sprache und wie mit "WhatsApp"bedient werden können und Informationen gezielt bereitstellen. Systeme zur automatischen Erstellung von Arztbriefen, die aus strukturierten Daten und Diktaten nahezu in Echtzeit verwertbare Dokumente generieren. Systeme, die Anamnesegespräche mitverfolgen, gesprochene Inhalte analysieren und daraus strukturierte Daten ableiten. AI-Agents und RAG, die komplexe Prozesse steuern und das Zusammenspiel verschiedener Systeme und Dienste im Krankenhaus intelligent koordinieren und womit vorgefertigte LLMs um eigene Daten erweitert werden können. Im Anschluss daran berichtet Dany von drei konkreten Projekten, die im Zentrum für Künstliche Intelligenz und in den Knappschaftskliniken entwickelt und eingesetzt werden: Ein Chatbot für medizinische Leitlinien, der Mitarbeitenden auf Station eine schnelle, evidenzbasierte Unterstützung bei klinischen Entscheidungen bietet – jederzeit abrufbar und DSGVO-konform lokal gehostet. Das „KI-Seepferdchen“, ein interaktives eLearning-Tool, das spielerisch und niedrigschwellig KI-Grundwissen vermittelt. Avatar-Videos als Ersatz für reale Videosequenzen im Bereich Epilepsie. Diese Avatare ermöglichen den datenschutzkonformen Einsatz in Lehre und Forschung. Das Gespräch macht deutlich: KI ist keine Zukunftsmusik mehr, sondern längst Teil des klinischen Alltags. Besonders deutlich wird, wie wichtig interdisziplinäre Zusammenarbeit, transparente Kommunikation und gezielte Weiterbildung sind, um diese Technologien sinnvoll und nachhaltig einzusetzen. Hört rein und lasst gerne einen Kommentar da! Shownotes Dany bei linkedin Knappschaft Kliniken Universitätsklinikum Bochum Zentrum für Künstliche Intelligenz, Medizininformatik & Datenwissenschaften (ZKIMED)

AI wants your data, but it can't handle the truth . . . “We'll just plug our data into ChatGPT.” Sure. Sounds easy. Rob thought so too, right up until he hit token limits, had to install Python, and discovered that even two megabytes of transcripts was too much for the world's smartest models to handle. In this episode, Rob and Justin break down what happens when you try to use AI on your company's internal data. Spoiler: it's a lot more complicated than the vendors make it sound. From semantic search to retrieval augmented generation (RAG), they unpack why the dream of “ask AI anything about your business” keeps falling short. You'll hear why your Power BI model isn't going anywhere, why structured data still needs old-school engines, and what it really takes to get value from your own information. Somewhere between a cautionary tale and a tech detective story, this one tells it like it is . . . unapologetically. Run into the same situation? We'd love to hear about it! Give us a shout on LinkedIn and tell us how you overcame the limitations.

Security leaders from Anthropic and AWS discuss how agentic AI is transforming cybersecurity functions to autonomously handle everything from code reviews to SOC operations.Topics Include:Agentic AI differs from traditional AI through autonomy and agencyTraditional AI handles single workflow nodes, agents collapse multiple stepsHigher model intelligence enables understanding of broader business contextsAgents make intelligent decisions across complex multi-step workflows processesEnterprise security operations are seeing workflow consolidation through GenAIOrganizations embedding GenAI directly into customer-facing production applicationsSoftware-as-a-service transitioning to service-as-software through AI agentsSecuring AI requires guardrails to prevent hallucinations in applicationsNew vulnerabilities appear at interaction points between system componentsAttackers target RAG systems and identity/authorization layers insteadLLMs hallucinate non-existent packages, attackers create malicious honeypotsGovernance frameworks must be machine-readable for autonomous agent reasoningAmazon investing in automated reasoning to prove software correctnessAnthropic uses Claude to write over 50% of codeAutomated code review systems integrated into CI/CD pipelinesSecurity design reviews use MITRE ATT&CK framework automationLow-risk assessments enable developers to self-approve security reviews40% reduction in application security team review workloadAnthropic eliminated SOC, replaced entirely with Claude-based automationIT support roles transitioning to engineering as automation replaces frontlineCompliance questionnaires fully automated using agentic AI workflowsISO 42001 framework manages AI deployment risks alongside securityExecutive risk councils evaluate AI risks using traditional enterprise processesAWS embeds GenAI into testing, detection, and user experienceFinding summarization helps L1 analysts understand complex AWS environmentsAmazon encourages teams to "live in the future" with AIInterview candidates expected to demonstrate Claude usage during interviewsSecurity remains biggest barrier to enterprise AI adoption beyond POCsVirtual employees predicted to arrive within next 12 monthsModel Context Protocol (MCP) creates new supply chain security risksParticipants:Jason Clinton – Chief Information Security Officer, AnthropicGee Rittenhouse – Vice President, Security Services, AWSHart Rossman – Vice President, Global Services Security, AWSBrian Shadpour – GM of Security and B2B Software Sales, AWSSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

↳ Why is Anthropic in hot water with Reddit? ↳ Will OpenAI become the de facto business AI tool? ↳ Did Apple make a mistake in its buzzworthy AI study? ↳ And why did Google release a new model when it was already on top? So many AI questions. We've got the AI answers.Don't waste hours each day trying to keep up with AI developments.We do that for you on Mondays with our weekly AI News That Matters segment.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI's Advanced Voice Mode UpdateReddit's Lawsuit Against AnthropicOpenAI's New Cloud ConnectorsGoogle's Gemini 2.5 Pro ReleaseDeepSeek Accused of Data SourcingAnthropic Cuts Windsurf Claude AccessApple's AI Reasoning Models StudyMeta's Investment in Scale AITimestamps:00:00 Weekly AI News Summary04:27 "Advanced Voice Mode Limitations"09:07 Reddit's Role in AI Tensions10:23 Reddit's Impact on Content Strategy16:10 "RAG's Evolution: Accessible Data Insights"19:16 AI Model Update and Improvements22:59 DeepSeek Accused of Data Misuse24:18 DeepSeek Accused of Distilling AI Data28:20 Anthropic Limits Windsurf Cloud Access32:37 "Study Questions AI Reasoning Models"36:06 Apple's Dubious AI Research Tactics39:36 Meta-Scale AI Partnership Potential40:46 AI Updates: Apple's Gap Year43:52 AI Updates: Voice, Lawsuits, ModelsKeywords:Apple AI study, AI reasoning models, Google Gemini, OpenAI, ChatGPT, Anthropic, Reddit lawsuit, Large Language Model, AI voice mode, Advanced voice mode, Real-time language translation, Cloud connectors, Dynamic data integration, Meeting recorder, Coding benchmarks, DeepSeek, R1 model, Distillation method, AI ethics, Windsurf, Claude 3.x, Model access, Privacy and data rights, AI research, Meta investment, Scale AI, WWDC, Apple's AI announcements, Gap year, On-device AI models, Siri 2.0, AI market strategy, ChatGPT teams, SharePoint, OneDrive, HubSpot, Scheduled actions, Sparkify, VO3, Google AI Pro plan, Creative AI, Innovation in AI, Data infrastructure.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

Interesting news coming out of China's Ant International, a global digital payments and fin tech provider. They have launched a new AI play with Alipay+ GenAI Cockpit. This will be an AI-as-a-Service (AIaaS) platform. The strategy is to support fintech companies and nudge super apps to build AI driven financial services with the goal of better security, flexibility and seamless experiences. Making AI work for finance remains the key goal for fin tech companies. Alipay+ GenAI Cockpit is a platform to help entrepreneurs create effective AI-native financial services. These tools will combine automated workflows and task orchestration with a dynamic enterprise context. Key tasks include payment orchestration, customer onboarding, compliance checks, fraud detection, dispute resolution, and evaluation and performance optimisation. New AI Platform for Fintechs launched by Ant International Three-pronged AI strategy focuses on AI security, Vertical Fintech Expertise, and Full-stack AI platform support First fintech clients begin official integration in June 2025 in Southeast Asia and South Asia "The future of finance will be shaped by agentic AI that not only carry out tasks autonomously in real automated workflows and sophisticated financial business and compliance context with reliability, but also interact, evolve and learn rapidly in orchestration with ever-growing precision," said Jiangming Yang, Chief Innovation Officer of Ant International. Alipay+ GenAI Cockpit has been honed on Ant International's four key business units: wallet gateway service (Alipay+), merchant payment service (Antom), cross-border business account service (WorldFirst), and embedded finance service (global treasury management, digital lending and credit tech solutions). Upon successful completion of trial runs, the first external clients in Southeast Asia and South Asia will start officially deploying the Cockpit in June 2025. Three-Pronged AI Strategy: Security, Vertical Fintech Expertise, and Platform-level Support for Agentic FinAI Combining a fintech-specific toolbox and dynamic industry knowledge base alongside business-ready AI innovations, the Cockpit embodies three key directions of Ant International's AI strategy. Security Shield for Trusted AI AI scamming threats using deepfake and other technologies have been growing over 10 folds by the year, with grave implications especially in the financial sector. Statistics show 22% of businesses have encountered AI-generated payment fraud. Ant International invests heavily in AI security solutions to combat external AI scamming attacks and eliminate internal model security risks such as model hallucination or bias. Its AI SHIELD framework manages risks across system architecture designing, data processing, model training, and inferencing. It offers real-time dynamic risk assessment, including detecting adversarial prompts and sensitive data leakage through over 100 recognition models and 600,000 risk lexicons. Today, fraud loss rate in Ant International's merchant payment service is 5% of industry average. Deep Vertical Financial Expertise Alipay+ GenAI Cockpit leverages over 20 leading LLMs, including Ant International's own Falcon Time-Series Transformer FX Model. However, it has focused on integrating fintech knowledge bases, such as bank transfer rules and dispute resolution policies, to help businesses build specialized fintech agents. The Cockpit toolbox supports retrieval-augmented generation (RAG), post-training, evaluation, and benchmarking, taking the combination of general-purpose datasets with industry-specific benchmarks developed from Ant International's financial expertise to help improve model precision. Built on the Cockpit, Antom Copilot is the world's first AI agent designed to help merchants boost conversion by streamlining the process of payment method integration, recommending optimal payment channels, and resolving common tasks like code correction and the auto-completion of merc...

Today, we're joined by Charles Martin, founder of Calculation Consulting, to discuss Weight Watcher, an open-source tool for analyzing and improving Deep Neural Networks (DNNs) based on principles from theoretical physics. We explore the foundations of the Heavy-Tailed Self-Regularization (HTSR) theory that underpins it, which combines random matrix theory and renormalization group ideas to uncover deep insights about model training dynamics. Charles walks us through WeightWatcher's ability to detect three distinct learning phases—underfitting, grokking, and generalization collapse—and how its signature “layer quality” metric reveals whether individual layers are underfit, overfit, or optimally tuned. Additionally, we dig into the complexities involved in fine-tuning models, the surprising correlation between model optimality and hallucination, the often-underestimated challenges of search relevance, and their implications for RAG. Finally, Charles shares his insights into real-world applications of generative AI and his lessons learned from working in the field. The complete show notes for this episode can be found at https://twimlai.com/go/734.

What does it take to bill over $1 million a year for seven years straight, while leading the highest-performing team in your company?On this week's episode of The RAG Podcast, I'm joined by Jay Wynter, SAP Practice Lead at Precision Sourcing in Australia. From a tough start in recruitment to becoming a standout performer, Jay has built an elite billing record and helped shape a team known for its consistency and culture.In this episode, we discussHow Jay has billed $1 million annually for seven consecutive yearsThe leadership mindset that built the most consistent team in the businessHow personal branding and podcasting helped deepen relationshipsWhy balancing delivery, culture and family is at the heart of his approachIf you're serious about high performance in recruitment—either as a biller or a leader—this is the one to watch.Chapters00:00 Introduction to The Rag Podcast and Guest Introduction01:07 Jay Wynter's Journey to Australia and Recruitment07:25 Transition from Football to Recruitment14:29 Early Challenges in Recruitment19:45 Adapting to COVID-19 and Leadership Response23:02 Embracing LinkedIn and Personal Branding27:29 Early Wins and Building a Personal Brand28:52 The Power of Podcasting in Recruitment31:37 Leadership and Team Dynamics36:19 Value-Driven Recruitment Strategies41:36 Work-Life Balance and Family Impact47:55 Future of Recruitment and Business Growth__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode Sponsor: HoxoRecruitment agency founders - this one's for you.What's your plan for the rest of 2025?If it's based on more cold outreach, referrals, or hiring more recruiters… we've got news for you. That's not where the smart money is going.The market has changed. AI is everywhere. Noise is louder than ever.So if you want to scale profitably this year, you need to do things differently!It starts with what you already have.Your experience. Your network. Your voice.And we are showing you exactly how to use it in a brand-new, FREE Masterclass - built specifically for recruitment leaders like you.You're going to...

In this third episode of our series on Retrieval-Augmented Generation (RAG), we explore how to apply RAG in real-world environments. Host Rhoni Rakos talks with Heather Harris, PhD, and Chris Yoko about ensuring quality, managing risk, protecting proprietary knowledge, and keeping human oversight at the center of AI-powered workflows.You may already be using RAG without realizing it. Tools like advanced search, AI assistants, and even some enterprise chat platforms use RAG to pull accurate answers from curated content.The ASAE Technology Professionals Advisory Council stays on top of emerging technologies and trends that impact the association community. We are here to help you navigate what's next.Catch up on the full series:• Episode 1: What Is RAG? How It Works and Why It Matters• Episode 2: Designing and Deploying RAG SystemsTogether, these episodes offer practical insights for building responsible RAG solutions that enhance knowledge delivery and member value.

Ivor Novello-winning singer Rag'n'Bone Man joins Nihal for an in-depth conversation.They discuss success, staying away from social media, and the intimacy of smaller venues.Nihal Arthanayake presents his Sunday evening show and podcast, featuring exclusive in-depth interviews with headline guests across entertainment, sport, culture and politics.

What if you could use ElasticSearch serverless? While at Build, Carl and Richard chatted with Ken Exner about the new announcements around Elastic providing serverless storage and search! Ken talks about paying for only the data you move and store with serverless, rather than needing to operate any infrastructure for Elastic. The conversation digs into the potential of Elastic in Azure AI Foundry to provide ultra-fast access to current company data for your LLM implementations. Elastic did vector databases before LLMs made them essential for RAG - and you can take advantage of it!

What if the smartest people in finance and law never had to do “stupid tasks” again? In this episode, we sit down with George Sivulka, founder of Hebbia, the AI company quietly powering 50% of the world's largest asset managers and some of the fastest-growing law firms. George reveals how Hebbia's Matrix platform is automating the equivalent of 50,000 years of human reading — every year — and why the future of work is hybrid teams of humans and AI “agent employees.” You'll get the inside story on how Hebbia went from a stealth project at Stanford to a multinational company trusted by the Department of Defense, and why their spreadsheet-inspired interface is leaving chatbots in the dust. George breaks down the technical secrets behind Hebbia's ISD architecture (and why they killed RAG), how they process billions of pages with near-zero hallucinations, and what it really takes to sell AI into the world's most regulated industries.We also dive into the future of organizational design, why generalization beats specialization in AI, and how “prompting is the new management skill.” Plus: the real story behind AI hallucinations, the myth of job loss, and why naiveté might be the ultimate founder superpower.HebbiaWebsite - https://www.hebbia.comTwitter - https://x.com/HebbiaAIGeorge SivulkaLinkedIn - https://www.linkedin.com/in/sivulkaTwitter - https://x.com/gsivulkaFIRSTMARKWebsite - https://firstmark.comTwitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/Twitter - https://twitter.com/mattturck(00:00) Intro (01:46) What is Hebbia (02:49) Evolving Hebbia's mission (04:45) The founding story and Stanford's inspiration (09:45) The rise of agent employees and AI in organizations (12:36) The future of AI-powered work (15:17) AI research trends (19:49) Inside Matrix: Hebbia's flagship AI platform (24:02) Why Hebbia isn't just another chatbot (28:27) Moving beyond RAG: Hebbia's unique architecture (34:10) Tackling hallucinations in high-stakes AI (35:59) Research culture and avoiding industry groupthink (39:40) Innovating go-to-market and enterprise sales (41:57) Real-world value: Cost savings and new revenue (43:49) How AI is changing junior roles (45:55) Leadership and perspective as a young founder (47:16) Hebbia's roadmap: Success in the next 3 years

This episode and sources detail significant advancements in artificial intelligence on 28 May 2025. Key developments include Anthropic launching a voice mode for its Claude AI and Opera announcing an AI-integrated browser capable of automating tasks and generating content. Further, a new startup called SpAItial has secured funding to create AI-generated 3D worlds, highlighting the expansion of generative AI into immersive environments. Research into how user confidence affects critical thinking with AI underscores the evolving human-AI dynamic. Finally, both OpenAI exploring a universal "Sign in with ChatGPT" feature and Telegram integrating Grok AI through a major deal demonstrate the increasing integration of AI services into widely used platforms.

What if you could use ElasticSearch serverless? While at Build, Carl and Richard chatted with Ken Exner about the new announcements around Elastic providing serverless storage and search! Ken talks about paying for only the data you move and store with serverless, rather than needing to operate any infrastructure for Elastic. The conversation digs into the potential of Elastic in Azure AI Foundry to provide ultra-fast access to current company data for your LLM implementations. Elastic did vector databases before LLMs made them essential for RAG - and you can take advantage of it!

As enterprises roll out production applications using AI model inferencing, they are finding that they are limited by the amount of memory that can be addressed by a GPU. This episode of Utilizing Tech features Steen Graham, founder of Metrum AI, discussing modern RAG and agentic AI applications with Ace Stryker and Stephen Foskett. Achieving the promise of AI requires access to data, and the memory required to deliver this is increasingly a focus of AI infrastructure providers. Technologies like DiskANN allow workloads to be offloaded to solid-state drives rather than system memory, and this surprisingly results in better performance. Another idea is to offload a large AI model to SSDs and deploy larger models on lower-cost GPUs, and this is showing a great deal of promise. Agentic AI in particular can be run in an asynchronous model, enabling them to take advantage of lower-spec hardware including older GPUs and accelerators, reduced RAM capacity and performance, and even all-CPU infrastructure. All of this suggests that AI can be run with less financial and power resources than generally assumed.Guest: Steen Graham is the Founder and CEO of Metrum AI. You can connect with Steen on LinkedIn and learn more about Metrum AI on their website.Guest Host: Ace Stryker is the Director of Product Marketing at Solidigm. You can connect with Ace on LinkedIn and learn more about Solidigm and their AI efforts on their dedicated AI landing page or watch their AI Field Day presentations from the recent event.Hosts:⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠, President of the Tech Field Day Business Unit and Organizer of the ⁠⁠⁠⁠Tech Field Day Event Series⁠⁠⁠⁠⁠⁠⁠⁠Jeniece Wnorowski⁠⁠⁠⁠, Head of Influencer Marketing at ⁠⁠⁠⁠Solidigm⁠⁠⁠⁠ ⁠⁠⁠⁠Scott Shadley⁠⁠⁠⁠, Leadership Narrative Director and Evangelist at ⁠⁠⁠⁠Solidigm⁠⁠⁠⁠Follow Tech Field Day ⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠, ⁠⁠⁠⁠on X/Twitter,⁠⁠⁠⁠ ⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠, and ⁠⁠⁠⁠on Mastodon⁠⁠⁠⁠. Visit the ⁠⁠⁠⁠Tech Field Day website⁠⁠⁠⁠ for more information on upcoming events. For more episodes of Utilizing Tech, head to ⁠⁠⁠⁠the dedicated website⁠⁠⁠⁠ and follow the show ⁠⁠⁠⁠on X/Twitter⁠⁠⁠⁠, ⁠⁠⁠⁠on Bluesky⁠⁠⁠⁠, and ⁠⁠⁠⁠on Mastodon⁠⁠⁠⁠.

01.Calvin Harris Feat Clementine Douglas – Blessings 02.Jax Jones, Raye – You Don't Know Me 03.Ed Sheeran – Bad Habits 04.Mark Dann Feat Giovanni Ricci – Let Me Die (Alex Caspian Remix) 05.Sean Finn – Crazy 06.Tiesto & Karol G – Don't Be Shy (Esquire Remix) 07.Zerb, Ty Dolla $Ign, Wiz Khalifa – Location 08.Twocolors X Roe Byrne – Stereo (Amice Remix) 09.Steve Aoki & Bassjackers Ft Teddy Bee – Voices In My Head (Alex Caspian Remix) 10.Robin Schulz – One By One 11.Alesso, Nate Smith – I Like It (Alesso & Sentinel Vip Remix) 12.DJ Kuba, Neitan, Bounce Inc. – Watch Out 13.David Guetta Feat. Sam Martin – Lovers On The Sun – (DJ Max Wave & DJ Artur Explos) 14.Joel Corry & Pickle Feat Vula Stay Together – Baby Baby 15.Daecolm, Arash, Hugel, Topic – I Adore You 16.Iommi, Micah, Perfect Pitch – Up And Down (Alex Caspian Remix) 17.DJ Peretse, DJ Nejtrino – Pardonne–Moi 18.Inna, R3hab – I'll Be Waiting 19.Calvin Harris, Rag'n'bone Man – Giant (Amice Remix) 20.Steve Angello, Modern Tales – Darkness In Me 21.Joel Corry & Jax Jones Feat Charli Xcx & Saweetie – Out Out 22.Kris Kross Amsterdam Feat. Eyelar & Eylr – Mr. Lie To Me 23.Meduza Ft. Becky Hill, Goodboys – Lose Control (Andy Jarvis Remix) 24.Oneil, Aize, Favia – Lights 25.Roman Messer, Rocco – Mysterious Times (Alex Caspian Remix) 26.Martin Garrix And Dua Lipa – Scared To Be Lonely (Pride Remix) 27.DJ Peretse X Koysina – Sky 28.Sarah De Warren Feat Charming Horses & Hanno – This Is The Life (Amice Remix) 29.Tiësto – Lay Low 30.Renomty, Smola, Aaron Kaye – Stereo Love 31.Delerium – Silence (John Summit Remix), 32.David Guetta, Sia – Beautiful People 33.Röyksopp – Here She Comes Again 34.Tony Igy – Cascade 35.Atb, Topic, A7s – Your Love (9pm Slow Sense Remix) 36.Kddk, The Hatters, Swanky Tunes – Wildfire 37.Nelly Furtado, Quarterhead – All Good Things (Come To An End) 38.Faruk Sabanci Feat. Mingue – Your Call 39.DJ Nejtrino, DJ Peretse, Julia Milows – By Your Side 40.Capital Cities – Safe And Sound 41.Calvin Harris, Dua Lipa – One Kiss 42.Swanky Tunes, Jeddak – Angels (Love Is The Answer) 43.Masters At Work – Work 44.Titov – Philosophy 45.Ay Yola – Homay (Alex Caspian Remix) 46.Block & Crown Feat. Daisy – Mr Vain 47.Kylie Minogue – Lights Camera Action (Alex Caspian Remix) 48.Alok, Kylie Minogue – Last Night I Dreamt I Fell In Love 49.DJ Nejtrino, DJ Peretse – Road To Hell 50.R3hab & Sophie And The Giants – All Night 51.Avaion & Sofiya Nzau – Wacuka 52.David Guetta, Kungs, Izzy Bizu – All Night Long 53.Danny Chris, Sickotoy – Don't Let Me Go 54.Dua Lipa, Imanbek – Love Again 55.Purple Disco Machine Sophie And The Giants – In The Dark (Denis First Remix) 56.Killteq, D.Hash, Valhee – I Like It 57.Regard, Years & Years – Hallucination 58.DJ Peretse, DJ Nejtrino – Bad 59.Meduza Feat. Dermot Kennedy – Paradise (DJsplcy Remix) 60.Switch Disco – React 61.Rita Ora – Don't Think Twice (Denis First Remix) 62.DJ Dimixer, Favia – One Of Us 63.DJ Peretse, DJ Nejtrino – You're A Woman 64.Tate Mcrae – Greedy (DJ Dark Remix)

01.Calvin Harris Feat Clementine Douglas – Blessings 02.Jax Jones, Raye – You Don't Know Me 03.Ed Sheeran – Bad Habits 04.Mark Dann Feat Giovanni Ricci – Let Me Die (Alex Caspian Remix) 05.Sean Finn – Crazy 06.Tiesto & Karol G – Don't Be Shy (Esquire Remix) 07.Zerb, Ty Dolla $Ign, Wiz Khalifa – Location 08.Twocolors X Roe Byrne – Stereo (Amice Remix) 09.Steve Aoki & Bassjackers Ft Teddy Bee – Voices In My Head (Alex Caspian Remix) 10.Robin Schulz – One By One 11.Alesso, Nate Smith – I Like It (Alesso & Sentinel Vip Remix) 12.DJ Kuba, Neitan, Bounce Inc. – Watch Out 13.David Guetta Feat. Sam Martin – Lovers On The Sun – (DJ Max Wave & DJ Artur Explos) 14.Joel Corry & Pickle Feat Vula Stay Together – Baby Baby 15.Daecolm, Arash, Hugel, Topic – I Adore You 16.Iommi, Micah, Perfect Pitch – Up And Down (Alex Caspian Remix) 17.DJ Peretse, DJ Nejtrino – Pardonne–Moi 18.Inna, R3hab – I'll Be Waiting 19.Calvin Harris, Rag'n'bone Man – Giant (Amice Remix) 20.Steve Angello, Modern Tales – Darkness In Me 21.Joel Corry & Jax Jones Feat Charli Xcx & Saweetie – Out Out 22.Kris Kross Amsterdam Feat. Eyelar & Eylr – Mr. Lie To Me 23.Meduza Ft. Becky Hill, Goodboys – Lose Control (Andy Jarvis Remix) 24.Oneil, Aize, Favia – Lights 25.Roman Messer, Rocco – Mysterious Times (Alex Caspian Remix) 26.Martin Garrix And Dua Lipa – Scared To Be Lonely (Pride Remix) 27.DJ Peretse X Koysina – Sky 28.Sarah De Warren Feat Charming Horses & Hanno – This Is The Life (Amice Remix) 29.Tiësto – Lay Low 30.Renomty, Smola, Aaron Kaye – Stereo Love 31.Delerium – Silence (John Summit Remix), 32.David Guetta, Sia – Beautiful People 33.Röyksopp – Here She Comes Again 34.Tony Igy – Cascade 35.Atb, Topic, A7s – Your Love (9pm Slow Sense Remix) 36.Kddk, The Hatters, Swanky Tunes – Wildfire 37.Nelly Furtado, Quarterhead – All Good Things (Come To An End) 38.Faruk Sabanci Feat. Mingue – Your Call 39.DJ Nejtrino, DJ Peretse, Julia Milows – By Your Side 40.Capital Cities – Safe And Sound 41.Calvin Harris, Dua Lipa – One Kiss 42.Swanky Tunes, Jeddak – Angels (Love Is The Answer) 43.Masters At Work – Work 44.Titov – Philosophy 45.Ay Yola – Homay (Alex Caspian Remix) 46.Block & Crown Feat. Daisy – Mr Vain 47.Kylie Minogue – Lights Camera Action (Alex Caspian Remix) 48.Alok, Kylie Minogue – Last Night I Dreamt I Fell In Love 49.DJ Nejtrino, DJ Peretse – Road To Hell 50.R3hab & Sophie And The Giants – All Night 51.Avaion & Sofiya Nzau – Wacuka 52.David Guetta, Kungs, Izzy Bizu – All Night Long 53.Danny Chris, Sickotoy – Don't Let Me Go 54.Dua Lipa, Imanbek – Love Again 55.Purple Disco Machine Sophie And The Giants – In The Dark (Denis First Remix) 56.Killteq, D.Hash, Valhee – I Like It 57.Regard, Years & Years – Hallucination 58.DJ Peretse, DJ Nejtrino – Bad 59.Meduza Feat. Dermot Kennedy – Paradise (DJsplcy Remix) 60.Switch Disco – React 61.Rita Ora – Don't Think Twice (Denis First Remix) 62.DJ Dimixer, Favia – One Of Us 63.DJ Peretse, DJ Nejtrino – You're A Woman 64.Tate Mcrae – Greedy (DJ Dark Remix)

1.Calvin Harris Feat Clementine Douglas – Blessings 2.Jax Jones, Raye – You Don't Know Me 3.Ed Sheeran – Bad Habits 4.Mark Dann Feat Giovanni Ricci – Let Me Die (Alex Caspian Remix) 5.Sean Finn – Crazy 6.Tiesto & Karol G – Don't Be Shy (Esquire Remix) 7.Zerb, Ty Dolla $Ign, Wiz Khalifa – Location 8.Twocolors X Roe Byrne – Stereo (Amice Remix) 9.Steve Aoki & Bassjackers Ft Teddy Bee – Voices In My Head (Alex Caspian Remix) 10.Robin Schulz – One By One 11.Alesso, Nate Smith – I Like It (Alesso & Sentinel Vip Remix) 12.DJ Kuba, Neitan, Bounce Inc. – Watch Out 13.David Guetta Feat. Sam Martin – Lovers On The Sun – (DJ Max Wave & DJ Artur Explos) 14.Joel Corry & Pickle Feat Vula Stay Together – Baby Baby 15.Daecolm, Arash, Hugel, Topic – I Adore You 16.Iommi, Micah, Perfect Pitch – Up And Down (Alex Caspian Remix) 17.DJ Peretse, DJ Nejtrino – Pardonne–Moi 18.Inna, R3hab – I'll Be Waiting 19.Calvin Harris, Rag'n'bone Man – Giant (Amice Remix) 20.Steve Angello, Modern Tales – Darkness In Me 21.Joel Corry & Jax Jones Feat Charli Xcx & Saweetie – Out Out 22.Kris Kross Amsterdam Feat. Eyelar & Eylr – Mr. Lie To Me 23.Meduza Ft. Becky Hill, Goodboys – Lose Control (Andy Jarvis Remix) 24.Oneil, Aize, Favia – Lights 25.Roman Messer, Rocco – Mysterious Times (Alex Caspian Remix) 26.Martin Garrix And Dua Lipa – Scared To Be Lonely (Pride Remix) 27.DJ Peretse X Koysina – Sky 28.Sarah De Warren Feat Charming Horses & Hanno – This Is The Life (Amice Remix) 29.Tiësto – Lay Low 30.Renomty, Smola, Aaron Kaye – Stereo Love 31.Delerium – Silence (John Summit Remix), 32.David Guetta, Sia – Beautiful People 33.Röyksopp – Here She Comes Again 34.Tony Igy – Cascade 35.Atb, Topic, A7s – Your Love (9pm Slow Sense Remix) 36.Kddk, The Hatters, Swanky Tunes – Wildfire 37.Nelly Furtado, Quarterhead – All Good Things (Come To An End) 38.Faruk Sabanci Feat. Mingue – Your Call 39.DJ Nejtrino, DJ Peretse, Julia Milows – By Your Side 40.Capital Cities – Safe And Sound 41.Calvin Harris, Dua Lipa – One Kiss 42.Swanky Tunes, Jeddak – Angels (Love Is The Answer) 43.Masters At Work – Work 44.Titov – Philosophy 45.Ay Yola – Homay (Alex Caspian Remix) 46.Block & Crown Feat. Daisy – Mr Vain 47.Kylie Minogue – Lights Camera Action (Alex Caspian Remix) 48.Alok, Kylie Minogue – Last Night I Dreamt I Fell In Love 49.DJ Nejtrino, DJ Peretse – Road To Hell 50.R3hab & Sophie And The Giants – All Night 51.Avaion & Sofiya Nzau – Wacuka 52.David Guetta, Kungs, Izzy Bizu – All Night Long 53.Danny Chris, Sickotoy – Don't Let Me Go 54.Dua Lipa, Imanbek – Love Again 55.Purple Disco Machine Sophie And The Giants – In The Dark (Denis First Remix) 56.Killteq, D.Hash, Valhee – I Like It 57.Regard, Years & Years – Hallucination 58.DJ Peretse, DJ Nejtrino – Bad 59.Meduza Feat. Dermot Kennedy – Paradise (DJsplcy Remix) 60.Switch Disco – React 61.Rita Ora – Don't Think Twice (Denis First Remix) 62.DJ Dimixer, Favia – One Of Us 63.DJ Peretse, DJ Nejtrino – You're A Woman 64.Tate Mcrae – Greedy (DJ Dark Remix)

Today, we're joined by Sebastian Gehrmann, head of responsible AI in the Office of the CTO at Bloomberg, to discuss AI safety in retrieval-augmented generation (RAG) systems and generative AI in high-stakes domains like financial services. We explore how RAG, contrary to some expectations, can inadvertently degrade model safety. We cover examples of unsafe outputs that can emerge from these systems, different approaches to evaluating these safety risks, and the potential reasons behind this counterintuitive behavior. Shifting to the application of generative AI in financial services, Sebastian outlines a domain-specific safety taxonomy designed for the industry's unique needs. We also explore the critical role of governance and regulatory frameworks in addressing these concerns, the role of prompt engineering in bolstering safety, Bloomberg's multi-layered mitigation strategies, and vital areas for further work in improving AI safety within specialized domains. The complete show notes for this episode can be found at https://twimlai.com/go/732.

Joel Christner, (@joelchristner, Founder/CEO at @viewyourdata) discusses the complexities of data management in AI, structured and unstructured data, the importance of RAG pipelines and vector databases. SHOW SUMMARY:  Aaron and Joel discusses the complexities of data management in AI, focusing on the concept of universal data representation. They explore the challenges organizations face with structured and unstructured data, the importance of RAG pipelines and vector databases, and the implications of data privacy in regulated industries. The conversation also touches on managing model versions and the emerging patterns in AI tooling that can help enterprises effectively utilize AI technologies.SHOW: 925SHOW TRANSCRIPT: The Cloudcast #925 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:View.io websiteTopic 1 - Welcome to the show, Joel. Give everyone a quick introduction.Topic 2 - Our topic today is everything data and how to represent it and embed it into AI systems. First, what is the challenge with data, structured or unstructured, in organizations today and what is behind the concept of Universal Data RepresentationTopic 3 - Industry or customer specific data today is big challenge for organziations, especially in highly regulated industries such as healthcare, financial services, etc. The most prevalent solution I am seeing is taking an existing foundational model and then adding a RAG pipeline vs. the cost and time to fine tuning. What are you seeing?Topic 4 - Even when companies have good data, that doesn't mean that data makes it into the AI pipeline correctly, this is where the embedding problem and your concept of Universal Data Representation comes into play, correct?Topic 5 - But, once you get the first model out, then what? How should the data and models be handled over time? How do you create a platform and a continuous feedback loop to improve the results over time?Topic 6 - What are the most successful use cases you are seeing today with your customers?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Large language models are helping developers move faster than ever. But behind the convenience of AI-generated code lies a security vulnerability: package hallucinations. In this episode, Ashok sits down with U.S. Army cybersecurity officer and PhD researcher Joe Spracklen to unpack new research on how hallucinated package names—fake libraries that don't yet exist—can be weaponized by attackers and quietly introduced into your software supply chain. Joe's recent academic study reveals how large language models like ChatGPT and Code Llama are frequently recommending software packages that don't actually exist—yet. These fake suggestions create the perfect opportunity for attackers to register malicious packages with those names, compromising developer machines and potentially entire corporate networks. Whether your team is deep into AI pair programming or just starting to experiment, this conversation surfaces key questions every tech leader should be asking before pushing AI-generated code to production. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Inside the episode... What "package hallucinations" are and why they matter How AI code assistants can introduce real vulnerabilities into your network Which models were most likely to hallucinate packages Why hallucinated package names are often persistent—not random How attackers could weaponize hallucinated names to spread malware What mitigation strategies were tested—and which ones failed Why simple retrieval-based techniques (like RAG) don't solve the problem Steps security-conscious teams can take today to protect their environments The importance of developer awareness as more non-traditional engineers enter the field Mentioned in this episode Python Package Index (PyPI) npm JavaScript package registry Snyk, Socket.dev, Phylum (dependency monitoring tools) Artifactory, Nexus, Verdaccio (private package registries) ChatGPT, Code Llama, DeepSeek (AI models tested) Subscribe to the Convergence podcast wherever you get podcasts including video episodes on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow. Unlock the full potential of your product team with Integral's player coaches, experts in lean, human-centered design. Visit integral.io/convergence for a free Product Success Lab workshop to gain clarity and confidence in tackling any product design or engineering challenge. Subscribe to the Convergence podcast wherever you get podcasts including video episodes to get updated on the other crucial conversations that we'll post on YouTube at youtube.com/@convergencefmpodcast Learn something? Give us a 5 star review and like the podcast on YouTube. It's how we grow.   Follow the Pod Linkedin: https://www.linkedin.com/company/convergence-podcast/ X: https://twitter.com/podconvergence Instagram: @podconvergence

What does it take to go from running a cleaning business to founding a global recruitment firm? Leon Mitton shares how he launched Agnes Cole Consulting during COVID and is now using AI to drive scale and efficiency in a way few are even attempting.On this week's episode of The RAG Podcast, I'm joined by Leon Mitton, founder of Agnes Cole Consulting, a specialist SAP and S4 HANA recruitment firm based in the UK and operating globally.Leon started with no background in business and built everything from the ground up. In this episode, he opens up about his journey, the role of personal fulfilment in entrepreneurship, and how he's using AI to build a lean, high-performing business for the future.In this episode, we discussHow Leon went from cleaning homes to closing global recruitment dealsWhat it was like launching a company at the peak of COVIDWhy AI is the future of outbound and client engagement in recruitmentHis vision for creating a long-term legacy for his familyIf you're thinking about what recruitment could look like in five years or want to hear a story rooted in grit, innovation, and purpose, this episode is not to be missed.Chapters00:00 Introduction to Leon Mitton and Agnes Cole Consulting02:14 Leon's Journey: From Cleaning Business to Recruitment10:01 Navigating Recruitment During COVID-1912:29 The Transition to Entrepreneurship15:05 Establishing Agnes Cole Consulting17:12 Growth and Challenges in Year Two19:11 The Messy Middle: Managing a Growing Team24:28 Reflections on Business and Personal Fulfillment27:08 Creating a Legacy for Future Generations30:46 The Role of AI in Recruitment32:19 Intentional Parenting and Education Choices34:36 The Evolution of School Systems37:04 Communication Skills as a Superpower39:10 The Impact of Technology on Recruitment41:44 AI's Influence on Client Relationships46:18 Adapting to Change in Recruitment51:00 The Future of Recruitment and Business Structure55:23 Finding Joy in the Recruitment Journey01:01:20 Inspiring Others Through Personal Stories__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode...

Demetrios, Sam Partee, and Rahul Parundekar unpack the chaos of AI agent tools and the evolving world of MCP (Model Context Protocol). With sharp insights and plenty of laughs, they dig into tool permissions, security quirks, agent memory, and the messy path to making agents actually useful.// BioSam ParteeSam Partee is the CTO and Co-Founder of Arcade AI. Previously a Principal Engineer leading the Applied AI team at Redis, Sam led the effort in creating the ecosystem around Redis as a vector database. He is a contributor to multiple OSS projects including Langchain, DeterminedAI, LlamaIndex and Chapel amongst others. While at Cray/HPE he created the SmartSim AI framework which is now used at national labs around the country to integrate HPC simulations like climate models with AI. Rahul ParundekarRahul Parundekar is the founder of AI Hero. He graduated with a Master's in Computer Science from USC Los Angeles in 2010, and embarked on a career focused on Artificial Intelligence. From 2010-2017, he worked as a Senior Researcher at Toyota ITC working on agent autonomy within vehicles. His journey continued as the Director of Data Science at FigureEight (later acquired by Appen), where he and his team developed an architecture supporting over 36 ML models and managing over a million predictions daily. Since 2021, he has been working on AI Hero, aiming to democratize AI access, while also consulting on LLMOps(Large Language Model Operations), and AI system scalability. Other than his full time role as a founder, he is also passionate about community engagement, and actively organizes MLOps events in SF, and contributes educational content on RAG and LLMOps at learn.mlops.community.// Related LinksWebsites: arcade.devaihero.studio~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreMLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Rahul on LinkedIn: /rparundekarConnect with Sam on LinkedIn: /samparteeTimestamps:[00:00] Agents & Tools, Explained (Without Melting Your Brain)[09:51] MVP Servers: Why Everything's on Fire (and How to Fix It)[13:18] Can We Actually Trust the Protocol?[18:13] KYC, But Make It AI (and Less Painful)[25:25] Web Automation Tests: The Bugs Strike Back[28:18] MCP Dev: What Went Wrong (and What Saved Us)[33:53] Social Login: One Button to Rule Them All[39:33] What Even Is an AI-Native Developer?[42:21] Betting Big on Smarter Models (High Risk, High Reward)[51:40] Harrison's Bold New Tactic (With Real-Life Magic Tricks)[55:31] Async Task Handoffs: Herding Cats, But Digitally[1:00:37] Getting AI to Actually Help Your Workflow[1:03:53] The Infamous Varma System Error (And How We Dodge It)

Text the showDesri is a singer based in London.Her credits include artists like Rag n Bone Man, Paolo Nutini, Ellie Goulding and The 1975.Amongst many other things, we discussed being shy in the industry, Brit school, and choosing between sports and music.I hope you enjoy our conversation as much as I did!(Recorded May 14th 2025)Support the showFollow me on Instagram - @nategrooveSubscribe to support the show - https://www.buzzsprout.com/2058148/supportAny questions or guest suggestions, please email nwinsessionwith@gmail.com

Merrill Lutsky, co-founder and CEO of Graphite, discusses their evolution from stack diff workflows to Diamond, an AI code review agent that just helped secure their $50M Series B. He shares insights on building reliable AI review systems, why over-generating and pruning comments works better than single responses, and the shift from RAG to agentic code browsing. Merrill offers a provocative vision where developers define requirements and AI agents build the code, potentially eliminating traditional IDE coding. This episode provides valuable perspectives on how AI is fundamentally reshaping software development workflows and engineering roles.Chapters:00:00 - Introduction and Graphite overview01:58 - Evolution from stack diffs to AI review07:39 - Diamond: The AI code reviewer explained10:13 - Human vs AI review: Finding the balance11:44 - Engineering challenges of reliable AI review17:38 - Over-generate and prune: A winning strategy24:49 - From RAG to code browser agents28:12 - The bitter lesson of AI engineering30:48 - The future of software engineering37:33 - Is AI over or under-hyped?

01. David Guetta, Girl On Couch, Billen Ted - Man In Finance (Record Mix) 02. Tony Igy, Vicetone - Astronomia (Record Mix) 03. Alan Walker, Yuqi, Jvke - Fire! (Record Mix) 04. Dj Dimixer, Dante, Dmitrii G - Only you (Record Mix) 05. R3Hab, Sophie And The Giants - All Night (Record Mix) 06. Calvin Harris, John Newman - Blame! (Record Mix) 07. Oneil, Kanvise, Murana - Redlight (Record Mix) 08. Mabel - Let Them Know (Record Mix) 09. Iommi, Micah, Perfect Pitch, Alex Caspian - Up And Down (Record Mix) 10. Going Deeper - Hypnotized (Record Mix) 11. Fisher, Aatig - Take It Off (Record Mix) 12. Kryder, Jay Robinson - Better Together (Record Mix) 13. Feder, Emmi - Blind (Record Mix) 14. Armand Van Helden, Salvatore Mancuso - my my my (Record Mix) 15. The Knocks, Sofi Tukker - One On One (Record Mix) 16. Tiesto, Soaky Siren - Tantalizing (Record Mix) 17. Don Diablo - Momentum (Record Mix) 18. Joezi, Lizwi - Amathole (Record Mix) 19. Alessandro - Goes Deeper (Record Mix) 20. Argy, Omnya - Aria (Record Mix) 21. Robin Schulz, James Blunt - OK (Record Mix) 22. Ofenbach - Be Mine (Record Mix) 23. Dua Lipa, Dj Dark - Training Season (Record Mix) 24. Tujamo, Azteck, Inna - Freak (Record Mix) 25. Gorgon City, Katy Menditta - Imagination (Record Mix) 26. Redondo, Shayee - Feeling Good (Record Mix) 27. Dj Antoine, Tom Novy - Superstar (Record Mix) 28. Jev - CU (Record Mix) 29. Twocolors, Roe Byrne, Amice - Stereo (Record Mix) 30. Armin Van Buuren - Es Vedra (Record Mix) 31. Fast Boy, Topic - Forget You (Record Mix) 32. Noizu - Summer 91 (Looking Back) (Record Mix) 33. Philip George - Wish You Were Mine (Record Mix) 34. Eelke Kleijn, Joris Voorn - Transmission (Record Mix) 35. Scotty, Marc Korn, Semitoo, Alex Caspian - Blue (Da Ba Dee) (Record Mix) 36. Mr. Belt & Wezol, Rscl - Opened Up My Soul (Record Mix) 37. Basto! - I Rave You (Record Mix) 38. Hedegaard, Martin Jensen, Victoria Nadine - Favorite Mistakes (Record Mix) 39. Martin Garrix - Animals! (Record Mix) 40. David Guetta, Sia - Beautiful People (Record Mix) 41. Galwaro, Lizot, Gabry Ponte - Like a Prayer (Record Mix) 42. Alok, Clementine Douglas - Body Talk (Record Mix) 43. Dimitri Vegas, Chapter & Verse, Goodboys - Good For You (Record Mix) 44. Sevdaliza, Yseult, Pabllo Vittar, Tiesto - Alibi (Record Mix) 45. Oceana, Bodybangers - Endless Summer (Record Mix) 46. Oneil, Kanvise, Sara Phillips, Organ - Wake Me Up (Record Mix) 47. Sophie And The Giants, Amice - Shut Up And Dance (Record Mix) 48. Pete Tong, Roro, Jules Buckley, The Essential Orchest - Rhythm Of The Night (Record Mix) 49. Fred Again.., The Blessed Madonna - Marea (Weve Lost Dancing) (Record Mix) 50. Phao, Kaiz - 2 Phut Hon (Record Mix) 51. R3Hab, Mufasa, Rani - Believe (Record Mix) 52. Duke Dumont - Won't Look Back (Record Mix) 53. C-Bool - Never Go Away (Record Mix) 54. Alan Walker, Meek - Dancing In Love (Record Mix) 55. Camelphat, Elderbrook - Cola (Record Mix) 56. Oliver Heldens, Ian Asher, Sergio Mendes - Mas Que Nada (Record Mix) 57. Rihanna, Calvin Harris - We Found Love (Record Mix) 58. Bassjackers - Wrong Or Right (The Riddle) (Record Mix) 59. Cedric Gervais, Nile Rodgers - We Are Family (Record Mix) 60. Ben Delay - I Never Felt So Right (Record Mix) 61. Benson Boone, Dj Dark - Beautiful Things (Record Mix) 62. Аигел, Amice - Пыяла (Record Mix) 63. Thomas Gold - Pump Up The Jam (Record Mix) 64. Robin Schulz, Cyril, Sam Martin - World Gone Wild (Record Mix) 65. Anthony Keyrouz - Love Yourself (Record Mix) 66. Kaz James - Sun Is Shining (Record Mix) 67. Goom Gum - Moonlight (Record Mix) 68. Aaron Smith, Luvli, Krono - Dancin' (Record Mix) 69. Diplo, Miguel - Don't Forget My Love (Record Mix) 70. Block & Crown, Lissat - Ocean Cake (Record Mix) 71. Katy Perry - Lifetimes (Record Mix) 72. James Hype, Kim Petras - Drums (Record Mix) 73. Cat Dealers, Lothief, Santti - Sunshine (Record Mix) 74. Tiesto, Black Eyed Peas - Pump It Louder (Record Mix) 75. Filatov & Karas - Time Won't Wait (Record Mix) 76. Junona Boys - Relax (Record Mix) 77. Melsen, Dwight Steven - One More Night (Record Mix) 78. Imanbek, Rick Ross, Kddk - Built Different (Record Mix) 79. Relanium, Deen West - Leel Lost (Record Mix) 80. Clean Bandit, Anne-Marie, David Guetta - Cry Baby (Record Mix) 81. Dom Dolla, Clementine Douglas - Miracle Maker (Record Mix) 82. Anyma, Ellie Goulding - Hypnotized (Record Mix) 83. Swanky Tunes, Shapov - Wannabe (Record Mix) 84. Adam Port, Stryv, Malachii, Switch Disco - Move (Record Mix) 85. Calvin Harris, Rag'N'Bone Man - Giant (Record Mix) 86. Eastblock Bitches, Ostblockschlampen - Sunglasses at Night (Record Mix) 87. Meduza, James Carter, Elley Duhe, Fast Boy - Bad Memories (Record Mix) 88. Basto!, Yves V - Cloud Breaker (Record Mix) 89. Tony Igy - Cascade (Record Mix) 90. Darude, Glazur, Xm - Sandstorm (Record Mix) 91. Joe Stone, Ferreck Dawn - Man Enough (Record Mix) 92. R3Hab, Inna, Sash! - Rock My Body (Record Mix) 93. Modjo - Lady (Hear Me Tonight) (Record Mix) 94. Playmen, Valeron, Klavdia - Touch Me (Record Mix) 95. John Martin, Tiesto - Anywhere For You (Record Mix) 96. Purple Disco Machine, Asdis, Amice - Beat Of Your Heart (Record Mix) 97. Topic, A7S - Breaking Me (Record Mix) 98. Fedde Le Grand - Rude Boy (Record Mix) 99. Regard, Years & Years - Hallucination (Record Mix) 100. Alok, Ava Max - Car Keys (Ayla) (Record Mix) 101. Martin Jensen, Fastboy - One Day (Record Mix) 102. Swedish House Mafia, Niki, The Dove - Lioness (Record Mix) 103. Tim Berg - Seek Bromance (Record Mix) 104. Lucas & Steve, Lawrent, Jordan Shaw - End Of Time (Record Mix) 105. Armin Van Buuren, Maia Wright - One More Time (Record Mix) 106. Skytech - The Rhythm (Record Mix) 107. Kungs - Clap Your Hands (Record Mix) 108. Oneil, Dj Dimixer - Children (Record Mix) 109. Alle Farben, Graham Candy, Lahos - Flowers (Record Mix) 110. Doechii, Dj Dark - Anxiety (Record Mix) 111. Oliver Heldens, Djs From Mars, Jd Davis - Blue Monday (Record Mix) 112. Kygo, Hayla, Joel Corry - Without You (Record Mix) 113. Murdbrain, Theajsound, Rachel Morgan Perry - Save Me (Record Mix) 114. Charli Xcx, Sam Smith - In The City (Record Mix) 115. Steve Aoki, David Guetta, Swae Lee, Pnb Rock - My Life (Record Mix) 116. Klaas - The Way (Record Mix) 117. Iommi, Micah, Perfect Pitch, Alex Caspian - Up And Down (Record Mix) 118. Gorgon City, Mk - There for You (Record Mix) 119. Otto Knows - Your Love (Record Mix) 120. Otnicka - Celebrate the Love (Record Mix) 121. Tayna, Marshmello, Ukay - Si Ai (Record Mix) 122. Atb, Topic, A7S - Your Love (9PM) (Record Mix) 123. Meduza, Becky Hill, Goodboys - Lose Control (Record Mix) 124. Purple Disco Machine, Benjamin Ingrosso, Nile Rodger - Honey Boy (Record Mix) 125. Jonas Blue, Jp Cooper - Perfect Strangers (Record Mix) 126. Steve Angello, Modern Tales - Darkness In Me (Record Mix) 127. Lana Del Rey, Kevin Blanc - Young & Beautiful (Record Mix) 128. Robin Schulz, Nervo, Koppy - Freaking You Out (Record Mix) 129. Ofenbach, Norma Jean Martine - Overdrive (Record Mix) 130. Marc Korn, Danny Suko, Heart Fx - Every Breath You Take (Record Mix) 131. Dzeko, Torres, Tiesto - L'Amour Toujours (Record Mix) 132. Rob Laniado - Vibing (Record Mix) 133. Don Diablo, R3Hab, Neeka - Disco Marathon (Record Mix) 134. Amor - Tell Me (Record Mix) 135. Felix Jaehn, Sophie Ellis-Bextor - Ready For Your Love (Record Mix) 136. Alok, Innerverse, Frey - Allein Allein (Record Mix)

Join Simtheory: https://simtheory.aiGet an AI workspace for your team: https://simtheory.ai/workspace/team/---CHAPTERS:00:00 - Will Chris Lose His Bet?04:48 - Google's 2.5 Gemini Preview Update12:44 - Future AI Systems Discussion: Skills, MCPs & A2A47:02 - Will AI Systems become walled gardens?55:13 - Do Organizations That Own Data Build MCPs & Agents? Is This The New SaaS?1:17:45 - Can we improve RAG with tool calling and stop hallucinations?---Thanks for listening. If you like chatting about AI consider joining our active Discord community: https://thisdayinai.com.

AFCEA'S TechNet Cyber conference held in Baltimore, Maryland was the perfect opportunity to sit down with Greg Carl, Principal Technologist from Pure Storage. Pure Storage is used by 175 federal agencies.  Time to sit down from a subject matter expert and explain their value proposition. Today's federal government is attempting to accomplish digital modernization through a move to the cloud and, at the same time, reduce staff.  To multiply the risk associated with this endeavor, we see an increase in cyber attacks on data at rest, in transit, and while in use.  Greg Carl drills down on how Pure Storage can help federal leaders in several areas, he begins with Retrieval Augmented Generation, RAG. People have jumped into AI without knowing how to structure a large language model, the popular LLM.  RAG focuses on text generation and tries to make sure the data collected is accurate, relevant, and contextually aware. Pure Storage asks, if RAG protects the results of a query, what protects the “Retrieval” part of RAG.  We know LLMs are being attacked every day.  Malicious code could be placed in a LLM, and the RAG system might not know. A decade ago, backups were child's play.  A server down the hall, a backup appliance.  Today, one needs an agile cloud solution to perform continuous backups in a hybrid world.  One way to gain resilience is to use immutable backups where the attacked system can be restored and not lose valuable time. Speed and security handling important data activities can reduce costs for federal leaders by improving accuracy of LLMs and speed the time to recover after an attack. Connect to John Gilroy on LinkedIn   https://www.linkedin.com/in/john-gilroy/ Want to listen to other episodes? www.Federaltechpodcast.com

AI, Marketing, and Human Decision Making // MLOps Podcast #313 with Fausto Albers, AI Engineer & Community Lead at AI Builders Club.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractDemetrios and Fausto Albers explore how generative AI transforms creative work, decision-making, and human connection, highlighting both the promise of automation and the risks of losing critical thinking and social nuance.// BioFausto Albers is a relentless explorer of the unconventional—a techno-optimist with a foundation in sociology and behavioral economics, always connecting seemingly absurd ideas that, upon closer inspection, turn out to be the missing pieces of a bigger puzzle. He thrives in paradox: he overcomplicates the simple, oversimplifies the complex, and yet somehow lands on solutions that feel inevitable in hindsight. He believes that true innovation exists in the tension between chaos and structure—too much of either, and you're stuck.His career has been anything but linear. He's owned and operated successful restaurants, served high-stakes cocktails while juggling bottles on London's bar tops, and later traded spirits for code—designing digital waiters, recommender systems, and AI-driven accounting tools. Now, he leads the AI Builders Club Amsterdam, a fast-growing community where AI engineers, researchers, and founders push the boundaries of intelligent systems.Ask him about RAG, and he'll insist on specificity—because, as he puts it, discussing retrieval-augmented generation without clear definitions is as useful as declaring that “AI will have an impact on the world.” An engaging communicator, a sharp systems thinker, and a builder of both technology and communities, Fausto is here to challenge perspectives, deconstruct assumptions, and remix the future of AI.// Related LinksWebsite: aibuilders.clubMoravec's paradox: https://en.wikipedia.org/wiki/Moravec%27s_paradox?utm_source=chatgpt.comBehavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311: https://youtu.be/jJXee5rMtHI~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Fausto on LinkedIn: /stepintoliquidTimestamps:[00:00] Fausto's preferred coffee[00:26] Takeaways[01:18] Automated Ad Creative Generation[07:14] AI in Marketing Workflows[13:23] MCP and System Bottlenecks[21:45] Forward Compatibility vs Optimization[29:57] Unlocking Workflow Speed[33:48] AI Dependency vs Critical Thinking[37:44] AI Realism and Paradoxes[42:30] Outsourcing Decision-Making Risks[46:22] Human Value in Automation[49:02] Wrap up

Send us a textEpisode Description: Host Nathan dives into the rapidly evolving world of Artificial Intelligence and its potential impact on the plumbing and heating industry. Joining him are Barrie and Amrit from Lorefuly, experts in leveraging technology for the trades.Key Discussion Points:The Hallucination Hazard: The trio discusses the crucial issue of Large Language Model (LLM) "hallucinations" – where AI systems confidently present inaccurate or fabricated information. This raises serious concerns about relying solely on unverified AI content.RAG to the Rescue: The Power of Accurate Data: Barrie and Amrit explain the concept of Retrieval-Augmented Generation (RAG) and its importance in ensuring AI provides reliable and trustworthy information. By grounding AI responses in curated and accurate data, RAG offers a pathway to creating genuinely useful resources for professionals in the field.Lorefuly & BetaTeach at the Installer Show 2025: Exciting news! Lorefuly and BetaTeach will be showcasing their AI-powered solutions at the Installer Show 2025 at the NEC. Find out how they are harnessing AI to benefit plumbers and heating engineers.OEM Opportunities: Heating appliance manufacturers can get involved in this innovative initiative! Learn how OEMs can contribute their expertise and data to create valuable AI-driven tools for installers.Pre-Show Webinars: Stay informed! Nathan, Barrie, and Amrit announce upcoming webinars (first one here: https://tinyurl.com/BetaTalk-AI designed to provide more details on how OEMs can participate and the benefits of getting involved.Mentioned:Artificial Intelligence (AI)Large Language Models (LLMs)Hallucination (in AI)Retrieval-Augmented Generation (RAG)LorefulyBetaTeachInstaller Show 2025 (NEC)Original Equipment Manufacturers (OEMs)Support the showLearn more about heat pump heating by followingNathan on Linkedin, Twitter and BlueSky

In this episode of FileMaker DevCast, we dive into n8n—a flexible, low-code workflow automation platform that gives you total control over how your systems talk to each other. We explore how n8n stacks up against tools like Zapier and Claris Connect, and walk through live examples of connecting Google Forms, FileMaker, email services, and even local AI agents. Learn how to build scalable, resilient automations—hosted on your own infrastructure or in the cloud—that will save you time. You'll hear about: Real-world n8n workflows with Google Sheets and FileMaker The power of "nodes" vs "zaps" and "connectors" Triggering flows with webhooks, timers, or file changes Using n8n with LLMs and vector stores for RAG-based AI The pros and trade-offs of local vs SaaS hosting Whether you're automating internal tools or building next-gen AI workflows, this episode will show you new ways to think about integration.

Dean Pleban and Liron Itzhakhi Allerhand explore what it really takes to move LLMs into production. They cover how to define clear requirements, prep data for RAG, engineer effective prompts, and evaluate model performance using concrete metrics. The conversation dives into managing sensitive data, avoiding leakage, and why crisp outputs and clear user intent matter. Plus: future trends like in-context learning and the decoupling of foundation models from vertical apps.Join our Discord community:https://discord.gg/tEYvqxwhah ---Timestamps:00:00 Introduction01:48 Phases of LLM Project Development03:32 Defining the Problem09:35 Data Preparation and Understanding23:59 Multimodal RAG26:28 Prompt Engineering & Model Selection27:58 Model Fine-tuning & Customization33:18 LLM as a Judge38:58 Evaluating Model Performance and Handling Hallucinations41:02 Using LLMs with sensitive data45:24 Other ideas for model evaluation and guardrails49:28 Recommendations for the audience➡️ Liron Itzhaki Allerhand on LinkedIn – https://www.linkedin.com/in/liron-izhaki-allerhand-16579b4/

Andrew Rosen, the founder of Theory and an investor in what feels like every American brand that's amounted to anything over the past 30 years—Rag & Bone, Alice & Olivia, Skims, Veronica Beard, and dozens more—joins Lauren to chat about American fashion and retail, from the good to the bad. They also discuss Andrew's latest project, TWP, as well as his investment philosophy, how the industry has changed since he got started in the 1970s, the future of department stores, and plenty more. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

AI, Marketing, and Human Decision Making // MLOps Podcast #313 with Fausto Albers, AI Engineer & Community Lead at AI Builders Club.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractDemetrios and Fausto Albers explore how generative AI transforms creative work, decision-making, and human connection, highlighting both the promise of automation and the risks of losing critical thinking and social nuance.// BioFausto Albers is a relentless explorer of the unconventional—a techno-optimist with a foundation in sociology and behavioral economics, always connecting seemingly absurd ideas that, upon closer inspection, turn out to be the missing pieces of a bigger puzzle. He thrives in paradox: he overcomplicates the simple, oversimplifies the complex, and yet somehow lands on solutions that feel inevitable in hindsight. He believes that true innovation exists in the tension between chaos and structure—too much of either, and you're stuck.His career has been anything but linear. He's owned and operated successful restaurants, served high-stakes cocktails while juggling bottles on London's bar tops, and later traded spirits for code—designing digital waiters, recommender systems, and AI-driven accounting tools. Now, he leads the AI Builders Club Amsterdam, a fast-growing community where AI engineers, researchers, and founders push the boundaries of intelligent systems.Ask him about RAG, and he'll insist on specificity—because, as he puts it, discussing retrieval-augmented generation without clear definitions is as useful as declaring that “AI will have an impact on the world.” An engaging communicator, a sharp systems thinker, and a builder of both technology and communities, Fausto is here to challenge perspectives, deconstruct assumptions, and remix the future of AI.// Related LinksWebsite: aibuilders.clubMoravec's paradox: https://en.wikipedia.org/wiki/Moravec%27s_paradox?utm_source=chatgpt.comBehavior Modeling, Secondary AI Effects, Bias Reduction & Synthetic Data // Devansh Devansh // #311: https://youtu.be/jJXee5rMtHI~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Fausto on LinkedIn: /stepintoliquid

At inference, large language models use in-context learning with zero-, one-, or few-shot examples to perform new tasks without weight updates, and can be grounded with Retrieval Augmented Generation (RAG) by embedding documents into vector databases for real-time factual lookup using cosine similarity. LLM agents autonomously plan, act, and use external tools via orchestrated loops with persistent memory, while recent benchmarks like GPQA (STEM reasoning), SWE Bench (agentic coding), and MMMU (multimodal college-level tasks) test performance alongside prompt engineering techniques such as chain-of-thought reasoning, structured few-shot prompts, positive instruction framing, and iterative self-correction. Links Notes and resources at ocdevel.com/mlg/mlg35 Build the future of multi-agent software with AGNTCY Try a walking desk stay healthy & sharp while you learn & code In-Context Learning (ICL) Definition: LLMs can perform tasks by learning from examples provided directly in the prompt without updating their parameters. Types: Zero-shot: Direct query, no examples provided. One-shot: Single example provided. Few-shot: Multiple examples, balancing quantity with context window limitations. Mechanism: ICL works through analogy and Bayesian inference, using examples as semantic priors to activate relevant internal representations. Emergent Properties: ICL is an "inference-time training" approach, leveraging the model's pre-trained knowledge without gradient updates; its effectiveness can be enhanced with diverse, non-redundant examples. Retrieval Augmented Generation (RAG) and Grounding Grounding: Connecting LLMs with external knowledge bases to supplement or update static training data. Motivation: LLMs' training data becomes outdated or lacks proprietary/specialized knowledge. Benefit: Reduces hallucinations and improves factual accuracy by incorporating current or domain-specific information. RAG Workflow: Embedding: Documents are converted into vector embeddings (using sentence transformers or representation models). Storage: Vectors are stored in a vector database (e.g., FAISS, ChromaDB, Qdrant). Retrieval: When a query is made, relevant chunks are extracted based on similarity, possibly with re-ranking or additional query processing. Augmentation: Retrieved chunks are added to the prompt to provide up-to-date context for generation. Generation: The LLM generates responses informed by the augmented context. Advanced RAG: Includes agentic approaches—self-correction, aggregation, or multi-agent contribution to source ingestion, and can integrate external document sources (e.g., web search for real-time info, or custom datasets for private knowledge). LLM Agents Overview: Agents extend LLMs by providing goal-oriented, iterative problem-solving through interaction, memory, planning, and tool usage. Key Components: Reasoning Engine (LLM Core): Interprets goals, states, and makes decisions. Planning Module: Breaks down complex tasks using strategies such as Chain of Thought or ReAct; can incorporate reflection and adjustment. Memory: Short-term via context window; long-term via persistent storage like RAG-integrated databases or special memory systems. Tools and APIs: Agents select and use external functions—file manipulation, browser control, code execution, database queries, or invoking smaller/fine-tuned models. Capabilities: Support self-evaluation, correction, and multi-step planning; allow integration with other agents (multi-agent systems); face limitations in memory continuity, adaptivity, and controllability. Current Trends: Research and development are shifting toward these agentic paradigms as LLM core scaling saturates. Multimodal Large Language Models (MLLMs) Definition: Models capable of ingesting and generating across different modalities (text, image, audio, video). Architecture: Modality-Specific Encoders: Convert raw modalities (text, image, audio) into numeric embeddings (e.g., vision transformers for images). Fusion/Alignment Layer: Embeddings from different modalities are projected into a shared space, often via cross-attention or concatenation, allowing the model to jointly reason about their content. Unified Transformer Backbone: Processes fused embeddings to allow cross-modal reasoning and generates outputs in the required format. Recent Advances: Unified architectures (e.g., GPT-4o) use a single model for all modalities rather than switching between separate sub-models. Functionality: Enables actions such as image analysis via text prompts, visual Q&A, and integrated speech recognition/generation. Advanced LLM Architectures and Training Directions Predictive Abstract Representation: Incorporating latent concept prediction alongside token prediction (e.g., via autoencoders). Patch-Level Training: Predicting larger “patches” of tokens to reduce sequence lengths and computation. Concept-Centric Modeling: Moving from next-token prediction to predicting sequences of semantic concepts (e.g., Meta's Large Concept Model). Multi-Token Prediction: Training models to predict multiple future tokens for broader context capture. Evaluation Benchmarks (as of 2025) Key Benchmarks Used for LLM Evaluation: GPQA (Diamond): Graduate-level STEM reasoning. SWE Bench Verified: Real-world software engineering, verifying agentic code abilities. MMMU: Multimodal, college-level cross-disciplinary reasoning. HumanEval: Python coding correctness. HLE (Human's Last Exam): Extremely challenging, multimodal knowledge assessment. LiveCodeBench: Coding with contamination-free, up-to-date problems. MLPerf Inference v5.0 Long Context: Throughput/latency for processing long contexts. MultiChallenge Conversational AI: Multiturn dialogue, in-context reasoning. TAUBench/PFCL: Tool utilization in agentic tasks. TruthfulnessQA: Measures tendency toward factual accuracy/robustness against misinformation. Prompt Engineering: High-Impact Techniques Foundational Approaches: Few-Shot Prompting: Provide pairs of inputs and desired outputs to steer the LLM. Chain of Thought: Instructing the LLM to think step-by-step, either explicitly or through internal self-reprompting, enhances reasoning and output quality. Clarity and Structure: Use clear, detailed, and structured instructions—task definition, context, constraints, output format, use of delimiters or markdown structuring. Affirmative Directives: Phrase instructions positively (“write a concise summary” instead of “don't write a long summary”). Iterative Self-Refinement: Prompt the LLM to review and improve its prior response for better completeness, clarity, and factuality. System Prompt/Role Assignment: Assign a persona or role to the LLM for tailored behavior (e.g., “You are an expert Python programmer”). Guideline: Regularly consult official prompting guides from model developers as model capabilities evolve. Trends and Research Outlook Inference-time compute is increasingly important for pushing the boundaries of LLM task performance. Agentic LLMs and multimodal reasoning represent the primary frontiers for innovation. Prompt engineering and benchmarking remain essential for extracting optimal performance and assessing progress. Models are expected to continue evolving with research into new architectures, memory systems, and integration techniques.

James Waissel set a modest goal of £125K in year 1 of launching his own agency. Instead, he ended up billing over £300K in revenue in just seven months.On this week's episode of The RAG Podcast, I'm joined by James Waissel, founder and CEO of Huntsman Consult, a construction and real estate recruitment business based in London.James started the business in June 2024, backed by a couple of key clients, and has built a small but growing team of three. In this conversation, he shares what it's really like in the first nine months of running a recruitment agency: the wins, the lessons, and the pressure of getting it right.In this episode, we discuss:What helped him smash his first-year revenue goal in just seven monthsThe financial, emotional, and operational challenges of early-stage growthHow he's building the foundation for long-term successIf you're in the early stages of launching a recruitment business (or thinking about it), this is a must-listen.Chapters00:00 Introduction to The RAG Podcast and James Waissel02:31 James Waissel's journey into recruitment10:02 The decision to start a business16:54 Building a recruitment business from scratch25:29 First steps and early successes33:23 Achieving growth in a challenging market34:27 Transitioning to a 360 role in recruitment37:30 Leveraging LinkedIn for business growth41:34 Exploring new business verticals44:16 Building a partner network for growth46:47 The role of AI in recruitment49:44 The importance of quality over quantity52:45 Understanding client needs for business success56:35 Lessons learned from past experiences01:00:06 The importance of financial management01:03:36 Combining sales, AI, and brand for success__________________________________________Episode Sponsor: AtlasYour memory isn't perfect. So Atlas remembers everything for you. Atlas is an end-to-end recruitment platform built for the AI generation. It automates your admin so you can focus on the business tasks that matter. How many conversations do you have every day? With clients. Candidates. Your team. Service providers.Now how many of those conversations can you recall with 100% accuracy? How many hours a week do you spend making notes to try and retain as much as possible? And how much is still getting lost along the way? Traditional CRM systems weren't built for the type of recruitment business you're running right now. They were built to rely on the structured, tagged, categorised, and formal data you could feed it. Manual processes that needed you to input specific information, based on specific questions and answers. But what about all the other conversations you're having every single day? Atlas isn't an ATS or a CRM. It's an Intelligent Business Platform that helps you perform 10X better than you could on your own. How? By removing all your low value tasks, acting as your perfect memory, and providing highly relevant recommendations to impact your performance. Learn more about the power of Atlas – and take advantage of the exclusive offer for The RAG listeners – by visiting https://recruitwithatlas.com/therag/ __________________________________________Episode sponsor: HoxoRecruiters: are you sitting on a goldmine of LinkedIn connections without knowing how to turn them into real opportunities?Most recruiters spend hours every day on cold outreach and endless scrolling, hoping for replies that never come. But what if LinkedIn could work for you instead?The Hoxo 7-Day LinkedIn Challenge is a...

News includes Tidewave, a new Phoenix MCP server that helps AI-enabled editors access application runtime, Chris McCord teasing his AI-enabled Phoenix app with LiveView hosted IDE features, a new GitHub Action for submitting Elixir dependencies to enhance security, ExMeralda.chat, a community chatbot for querying Hex packages, updates on Software Mansion's LiveDebugger v0.2.0 coming in May, mix test.interactive for enhanced ExUnit testing workflows, and information about slopsquatting, a new malware technique targeting AI-assisted developers, and more!Template Show Notes online - http://podcast.thinkingelixir.com/252 (http://podcast.thinkingelixir.com/252) Elixir Community News https://paraxial.io/ (https://paraxial.io/?utm_source=thinkingelixir&utm_medium=shownotes) – Paraxial.io is sponsoring today's show! Sign up for a free trial of Paraxial.io today and mention Thinking Elixir when you schedule a demo for a limited time offer. https://youtu.be/vGue4LtqeWg (https://youtu.be/vGue4LtqeWg?utm_source=thinkingelixir&utm_medium=shownotes) – Introduction video for Tidewave, a Phoenix/Rails MCP server that helps AI-enabled editors access your application's runtime. https://github.com/hexpm/hexdocs/issues/49 (https://github.com/hexpm/hexdocs/issues/49?utm_source=thinkingelixir&utm_medium=shownotes) – Hexdocs PR enabling documentation context for Tidewave, allowing AI assistants to access app documentation without manual copying. https://x.com/chris_mccord/status/1915017804937375896 (https://x.com/chris_mccord/status/1915017804937375896?utm_source=thinkingelixir&utm_medium=shownotes) – Chris McCord teasing his AI-enabled Phoenix app that writes code. https://x.com/chris_mccord/status/1917002231322116298 (https://x.com/chris_mccord/status/1917002231322116298?utm_source=thinkingelixir&utm_medium=shownotes) – Chris McCord demonstrating an interactive LiveView hosted IDE with realtime terminal support synced across browsers/devices. https://bsky.app/profile/theerlef.bsky.social/post/3lngay5chys22 (https://bsky.app/profile/theerlef.bsky.social/post/3lngay5chys22?utm_source=thinkingelixir&utm_medium=shownotes) – EEF announcement about the "mix-dependency-submission" GitHub Action for submitting Elixir/Mix dependencies. https://github.com/erlef/mix-dependency-submission (https://github.com/erlef/mix-dependency-submission?utm_source=thinkingelixir&utm_medium=shownotes) – GitHub repo for the mix-dependency-submission tool that calculates dependencies for Mix and submits them to GitHub's API. https://docs.github.com/en/code-security/supply-chain-security/understanding-your-software-supply-chain/using-the-dependency-submission-api (https://docs.github.com/en/code-security/supply-chain-security/understanding-your-software-supply-chain/using-the-dependency-submission-api?utm_source=thinkingelixir&utm_medium=shownotes) – GitHub documentation about the Dependency Submission API used by the mix-dependency-submission tool. https://exmeralda.chat/chat/start (https://exmeralda.chat/chat/start?utm_source=thinkingelixir&utm_medium=shownotes) – ExMeralda.chat, a chatbot for hex.pm packages from bitcrowd.dev, using their Elixir RAG library. https://bitcrowd.dev/exmeralda-a-community-chatbot-for-hex-packages/ (https://bitcrowd.dev/exmeralda-a-community-chatbot-for-hex-packages/?utm_source=thinkingelixir&utm_medium=shownotes) – Blog post explaining ExMeralda, a community chatbot for Hex packages that demonstrates RAG systems with LLMs. https://www.reddit.com/r/elixir/comments/1k600mu/livedebuggerv020upcomingfeaturespart_1/ (https://www.reddit.com/r/elixir/comments/1k600mu/livedebugger_v020_upcoming_features_part_1/?utm_source=thinkingelixir&utm_medium=shownotes) – Reddit post from Software Mansion about upcoming features in LiveDebugger v0.2.0, expected in early May. https://www.youtube.com/watch?v=HNl-y49Ou7E (https://www.youtube.com/watch?v=HNl-y49Ou7E?utm_source=thinkingelixir&utm_medium=shownotes) – Full interview discussing LiveDebugger in more depth. https://github.com/randycoulman/mixtestinteractive (https://github.com/randycoulman/mix_test_interactive?utm_source=thinkingelixir&utm_medium=shownotes) – mix test.interactive - an interactive test runner for ExUnit tests that enhances testing workflows. https://x.com/jskalc/status/1916824204156035300 (https://x.com/jskalc/status/1916824204156035300?utm_source=thinkingelixir&utm_medium=shownotes) – Twitter post highlighting mix test.interactive's features including running tests by names, rerunning on file save, and more. https://erlef.org/blog/eef/election-2025 (https://erlef.org/blog/eef/election-2025?utm_source=thinkingelixir&utm_medium=shownotes) – Information about upcoming Erlang Ecosystem Foundation board elections with important dates. https://andrealeopardi.com/posts/async-tests-in-elixir/ (https://andrealeopardi.com/posts/async-tests-in-elixir/?utm_source=thinkingelixir&utm_medium=shownotes) – Andrea Leopardi's blog post about reworking singleton architecture to leverage async tests in ExUnit. https://www.youtube.com/watch?v=KrAqMyjbkJQ (https://www.youtube.com/watch?v=KrAqMyjbkJQ?utm_source=thinkingelixir&utm_medium=shownotes) – ElixirConf US 2024 talk by Jason Stiebs on FLAME (Fleeting Lambda Application for Modular Execution). https://www.youtube.com/watch?v=62OK9B4yRfg (https://www.youtube.com/watch?v=62OK9B4yRfg?utm_source=thinkingelixir&utm_medium=shownotes) – ElixirConf US 2024 talk by James Isenhart on 'OpenTelemetry: From Desire to Dashboard' https://gridinsoft.com/blogs/slopsquatting-malware/ (https://gridinsoft.com/blogs/slopsquatting-malware/?utm_source=thinkingelixir&utm_medium=shownotes) – Article about slopsquatting, a new malware technique targeting AI-assisted developers by exploiting AI hallucinations of package names. Do you have some Elixir news to share? Tell us at @ThinkingElixir (https://twitter.com/ThinkingElixir) or email at show@thinkingelixir.com (mailto:show@thinkingelixir.com) Find us online - Message the show - Bluesky (https://bsky.app/profile/thinkingelixir.com) - Message the show - X (https://x.com/ThinkingElixir) - Message the show on Fediverse - @ThinkingElixir@genserver.social (https://genserver.social/ThinkingElixir) - Email the show - show@thinkingelixir.com (mailto:show@thinkingelixir.com) - Mark Ericksen on X - @brainlid (https://x.com/brainlid) - Mark Ericksen on Bluesky - @brainlid.bsky.social (https://bsky.app/profile/brainlid.bsky.social) - Mark Ericksen on Fediverse - @brainlid@genserver.social (https://genserver.social/brainlid) - David Bernheisel on Bluesky - @david.bernheisel.com (https://bsky.app/profile/david.bernheisel.com) - David Bernheisel on Fediverse - @dbern@genserver.social (https://genserver.social/dbern)

01. Clean Bandit Feat Tiësto & Leony– Tell Me Where U Go 02. Oneil, Kanvise, Sara Phillips & Organ – Wake Me Up 03. C-Block – So Strung Out (The Distance & Riddick Edit) 04. Fisher – Losing It 05. Oneil, Aize – Died In Your Arms 06. Sophie And The Giants – Shut Up And Dance (Amice Remix) 07. Armin Van Buuren – Angels (Alex Caspian Remix) 08. Dimitri Vegas & Like Mike, W&W, Marnik – Yeah 09. Zerb, Sofiya Nzau – Mwaki 10. Tiësto & Ava Max – The Motto (Dor Halevi & Chaap Remix) 11. Imanbek, Rick Ross, Kddk – Built Different 12. Katy Perry – Lifetimes 13. Cyril, Dean Lewis – Fall At Your Feet (Amice Remix) 14. Oneil, Kanvise, Smola – Since You Been Gone 15. Ella Henderson Feat. Rudimental – Alibi (Alex Caspian Remix) 16. Shouse – Love Tonight (Barthez Remix) 17. Reese – Where Have You Been (Alex Caspian Remix) 18. Alok & Gryffin & Julia Church – Never Letting Go 19. Pete Tong, Roro, Jules Buckley, The Essential Orchestra – Rhythm Of 20. Goodboys, Nu Aspect, Avaion – Blindspot 21. Sean Finn – Crazy 22. Steve Aoki & Bassjackers Ft Teddy Bee – Voices In My Head (Alex Caspian Remix) 23. Tiësto, Sevdaliza, Yseult, Pabllo Vittar – Alibi 24. Ed Sheeran – Bad Habits (Triiper Bootleg) 25. Jax Jones, Raye – You Don't Know Me 26. Dj Kuba, Neitan, Bounce Inc. – Watch Out 27. Alesso & Nate Smith – I Like It 28. Dj Nejtrino, Dj Peretse – I've Been Thinking About You 29. Iommi, Micah, Perfect Pitch Up And Down (Alex Caspian Remix) 30. Whiteout, Depdramez, Mitti – Now You're Gone 31. Tiesto & Karol G – Don't Be Shy (Esquire Remix) 32. Dj Peretse, Dj Nejtrino – Pardonne-Moi 33. Robin Schulz – One By One 34. Roman Messer, Kayote – Bla Bla Bla (Alex Caspian Remix) 35. Don Diablo & Paolo Pellegrino – Dangerous 36. Hedegaard, Martin Jensen, Victoria Nadine – Favorite Mistakes 37. Dj Peretse X Dj Nejtrino – Rockit 38. Block & Crown, Lissat – Ocean Cake 39. Jkrs, Aizzo – Hung Up 40. Alok & Bebe Rexha – Deep In Your Love (Alex Caspian Remix) 41. Calvin Harris, Disciples – How Deep Is Your Love (Alex Caspian Remix) 42. Michael Gray Feat. Roll Deep – Can't Wait For The Weekend 43. Darude – Sandstorm (Glazur & Xm Remix) 44. Kshmr, Tigerlily – Invisible Children 45. Roman Messer, Rocco & Thoba – Hit My Heart (Alex Caspian Remix) 46. Block & Crown, Atilla Cetin – How Many Nations 47. Gregory Porter – Liquid Spirit (Jonas Blue Remix) 48. John Summit Feat. Inéz – Light Years 49. Alle Farben – Bad Ideas (Valeriy Smile Remix) 50. David Guetta, Becky Hill & Ella Henderson – Crazy What Love Can Do 51. Lost Frequencies, Bomfunk Mc's Freestyler – Rock The Microphone (Alex Caspian Remix) 52. Yellow Claw Feat. Rochelle – Shotgun (Ps Project & Danil Siyanov Remix) 53. Phao And Kaiz – 2 Phut Hon 54. Dvbbs, Borgeous Feat. Tinie Tempah – Tsunami (Jump) 55. Murdbrain, Theajsound & Rachel Morgan Perry – Save Me 56. Steve Angello, Modern Tales – Darkness In Me 57. Tiësto – Lay Low 58. Calvin Harris, Rag'n'bone Man – Giant (Amice Remix) 59. Dj Peretse X Koysina – Sky 60. Kris Kross Amsterdam Feat. Eyelar & Eylr – Mr. Lie To Me 61. Matt Nash – Know My Love 62. Ron May – Keep On Rising 63. Tayna – Si Ai (Marshmello & Ukay Remix) 64. Rompasso & Kddk – Isaura 65. Noize Generation, Stefy De Cicco – Faded 66. Charli Xcx & Sam Smith – In The City 67. Alok, The Chainsmokers Feat. Mae Stephens – Jungle (Timber & V.Smile Remix) 68. Meduza Ft. Becky Hill, Goodboys – Lose Control (Andy Jarvis Remix) 69. David Guetta & Onerepublic – I Don't Wanna Wait 70. Roman Messer, Rocco – Mysterious Times (Alex Caspian Remix)

Welcome back to the LuxeGen Group Chat! This week, Sapna and Daisy are joined by content creator Joe Baggs. First up, Joe recaps his Coachella weekend, which included insane performances by Lady Gaga and Lorde. The three also discuss this week's Big Brother drama regarding JoJo Siwa and Chris Hughes, as well as how reality TV has become much more tame. They also chat about the new series of Netflix's You, the Kérastase hair products they're loving right now and the travel hack Gen Z are using. Finally, Joe gives listeners and viewers a behind-the-scenes look at some of his most viral TikToks… This episode of the LuxeGen Group Chat Vodcast contains a paid promotion for Kérastase. Follow us on:Instagram | https://bit.ly/3X0xm27TikTok | http://bit.ly/3jvwlBEPodcast | https://open.spotify.com/show/60SxAVVuD3LrgLdlKuy3uH Panel:Daisy Reed | @daisreed | https://www.instagram.com/daisreed/?hl=en Rag & Bone Nonie Contrast Collar Jacket | https://tinyurl.com/wb9kd22x COS The Clean Cut T-Shirt | https://tinyurl.com/5ayb6jrf Zara Linen Blend Palazzo Trousers | https://tidd.ly/44kWMyV Sapna Rao | @sapna.rao | https://www.instagram.com/sapna_rao/?hl=en Source Unknown Suede Jacket | https://tinyurl.com/mr2axr9y Uniqlo T-shirt | https://tidd.ly/4jD94aT Stella McCartney Striped Boyfriend Trousers | https://tinyurl.com/2kxxmxab Joe Baggs | @joebxggs | https://www.instagram.com/joebxggs/?hl=en AGRO x Pizza Express Jersey | Not AvailableBershka Baggy Jacquard Jeans (alternative) | https://tinyurl.com/yc2adyya Nike Air Force 1 | https://www.nike.com/gb/t/air-force-1-07-shoes-pNCCVs/CW2288-111 Hosted on Acast. See acast.com/privacy for more information.

Nesse episódio do Podcast da Lambda3 powered by TIVIT, Fernando Okuma convida Ahirton Lopes e Eliézer Zarpelão para um papo sobre qual é o banco de dados ideal para aplicações com IA Generativa, explorando o papel dos bancos vetoriais e de grafos, seus casos de uso e os desafios de adoção.ParticipantesFernando Okuma - @feokumaAhirton Lopes - @ahirtonlopesEliézer Zarpelão - @eliezerzarpelaoPautaPor que IA Generativa precisa de um “banco diferente”?O que são bancos de dados vetoriais e bancos de grafos?Por que bancos tradicionais não resolvem esse problema?Como funcionam: embeddings, distância e busca por similaridadeCasos de uso práticos (RAG, recomendação, antifraude etc.)Desafios na adoção em ambientes corporativosO que observar ao escolher um banco vetorial / grafosFuturo: bancos híbridos, grafos, otimizações e tendênciasReferenciasCanal do Eliézer no YouTube: https://youtube.com/eliezerzarpelaoGraphAcademy (Cursos e Certificação gratuitos): https://graphacademy.neo4j.com/pt/GraphRAG Manifesto: https://neo4j.com/blog/genai/graphrag-manifesto/AuraDB (Neo4j SaaS): https://neo4j.com/product/auradb/ (tem versão free)Edição:⁠⁠⁠⁠Compasso Coolab⁠

The explosion of embedding-based applications created a new challenge: efficiently storing, indexing, and searching these high-dimensional vectors at scale. This gap gave rise to the vector database category, with companies like Pinecone leading the charge in 2022-2023 by defining specialized infrastructure for vector operations. The category saw explosive growth following ChatGPT's launch in late 2022, as developers rushed to build AI applications using Retrieval-Augmented Generation (RAG). This surge was partly driven by a widespread misconception that embedding-based similarity search was the only viable method for retrieving context for LLMs!!! The resulting "vector database gold rush" saw massive investment and attention directed toward vector search infrastructure, even though traditional information retrieval techniques remained equally valuable for many RAG applications. https://x.com/jobergum/status/1872923872007217309 Chapters 00:00 Introduction to Trondheim and Background 03:03 The Rise and Fall of Vector Databases 06:08 Convergence of Search Technologies 09:04 Embeddings and Their Importance 12:03 Building Effective Search Systems 15:00 RAG Applications and Recommendations 17:55 The Role of Knowledge Graphs 20:49 Future of Embedding Models and Innovations

In this episode, Kelly Hong, a researcher at Chroma, joins us to discuss "Generative Benchmarking," a novel approach to evaluating retrieval systems, like RAG applications, using synthetic data. Kelly explains how traditional benchmarks like MTEB fail to represent real-world query patterns and how embedding models that perform well on public benchmarks often underperform in production. The conversation explores the two-step process of Generative Benchmarking: filtering documents to focus on relevant content and generating queries that mimic actual user behavior. Kelly shares insights from applying this approach to Weights & Biases' technical support bot, revealing how domain-specific evaluation provides more accurate assessments of embedding model performance. We also discuss the importance of aligning LLM judges with human preferences, the impact of chunking strategies on retrieval effectiveness, and how production queries differ from benchmark queries in ambiguity and style. Throughout the episode, Kelly emphasizes the need for systematic evaluation approaches that go beyond "vibe checks" to help developers build more effective RAG applications. The complete show notes for this episode can be found at https://twimlai.com/go/728.