Podcasts about fine tuning

We'll keep this brief because we're on a tight turnaround: GPT 4.1, previously known as the Quasar and Optimus models, is now live as the natural update for 4o/4o-mini (and the research preview of GPT 4.5). Though it is a general purpose model family, the headline features are: Coding abilities (o1-level SWEBench and SWELancer, but ok Aider) Instruction Following (with a very notable prompting guide) Long Context up to 1m tokens (with new MRCR and Graphwalk benchmarks) Vision (simply o1 level) Cheaper Pricing (cheaper than 4o, greatly improved prompt caching savings) We caught up with returning guest Michelle Pokrass and Josh McGrath to get more detail on each! Chapters 00:00:00 Introduction and Guest Welcome 00:00:57 GPC 4.1 Launch Overview 00:01:54 Developer Feedback and Model Names 00:02:53 Model Naming and Starry Themes 00:03:49 Confusion Over GPC 4.1 vs 4.5 00:04:47 Distillation and Model Improvements 00:05:45 Omnimodel Architecture and Future Plans 00:06:43 Core Capabilities of GPC 4.1 00:07:40 Training Techniques and Long Context 00:08:37 Challenges in Long Context Reasoning 00:09:34 Context Utilization in Models 00:10:31 Graph Walks and Model Evaluation 00:11:31 Real Life Applications of Graph Tasks 00:12:30 Multi-Hop Reasoning Benchmarks 00:13:30 Agentic Workflows and Backtracking 00:14:28 Graph Traversals for Agent Planning 00:15:24 Context Usage in API and Memory Systems 00:16:21 Model Performance in Long Context Tasks 00:17:17 Instruction Following and Real World Data 00:18:12 Challenges in Grading Instructions 00:19:09 Instruction Following Techniques 00:20:09 Prompting Techniques and Model Responses 00:21:05 Agentic Workflows and Model Persistence 00:22:01 Balancing Persistence and User Control 00:22:56 Evaluations on Model Edits and Persistence 00:23:55 XML vs JSON in Prompting 00:24:50 Instruction Placement in Context 00:25:49 Optimizing for Prompt Caching 00:26:49 Chain of Thought and Reasoning Models 00:27:46 Choosing the Right Model for Your Task 00:28:46 Coding Capabilities of GPC 4.1 00:29:41 Model Performance in Coding Tasks 00:30:39 Understanding Coding Model Differences 00:31:36 Using Smaller Models for Coding 00:32:33 Future of Coding in OpenAI 00:33:28 Internal Use and Success Stories 00:34:26 Vision and Multi-Modal Capabilities 00:35:25 Screen vs Embodied Vision 00:36:22 Vision Benchmarks and Model Improvements 00:37:19 Model Deprecation and GPU Usage 00:38:13 Fine-Tuning and Preference Steering 00:39:12 Upcoming Reasoning Models 00:40:10 Creative Writing and Model Humor 00:41:07 Feedback and Developer Community 00:42:03 Pricing and Blended Model Costs 00:44:02 Conclusion and Wrap-Up

Join the Refrigeration Mentor Hub here Learn more about Refrigeration Mentor Customized Technical Training Programs at www.refrigerationmentor.com/courses This episode of CO2 Experts is the second of a 2-part lesson on advanced CO2 refrigeration troubleshooting with Chris Brown, Application Engineering Manager of Danfoss (You can listen to Part 1 here). In Part 2, we dive into the technical side of CO2 system start ups - tips and things to look for to really be proficient on getting that rack up and running or getting to a point where you can start adding gas. We also focus optimizing controller settings, tuning, and ensuring effective pressure management.  In this episode, we discuss: -Controller tuning and receiver pressure -Understanding PI selection and tuning results -Troubleshooting rack superheat -Hot gas and liquid injection dynamics -Oil management -Booster systems and discharge pressure issues -Understanding medium temp suction pressures -Low temp discharge safety settings -Medium temp compressor issues and solutions -Suction Floating -Handling emergency shutdowns -Phase loss monitor checks -Troubleshooting charge loss -Leveraging manufacturer support Helpful Links & Resources: Danfoss Supermarket Support Danfoss YouTube Channel Chris Brown on LinkedIn Controller Talk Podcast S3 E13: “Inside Supermarket Refrigeration with Refrigeration Mentor, Trevor Matthews”  

Join the Refrigeration Mentor Hub here Learn more about Refrigeration Mentor Customized Technical Training Programs at www.refrigerationmentor.com/courses This episode of CO2 Experts is the first of a 2-part lesson on advanced CO2 refrigeration troubleshooting with Chris Brown, Application Engineering Manager of Danfoss. Here, we dive into the intricacies of CO2 control systems, including startup procedures, sensor calibration, pressure transducer checks, and the importance of proper insulation and wiring. Chris also shares techniques for fine-tuning and optimizing system components like gas cooler fans, high pressure valves, and parallel compressors. Have a listen, and watch for Part 2 on Monday, April 14. In this episode, we discuss: -Danfoss controllers -Startup and troubleshooting best practices -Control system breakdown -Sensor calibration and validation -Valve and transducer checks -Understanding temperature control in gas coolers -Fan speed variations and minimum speeds -Ejectors -Importance of accurate sensor readings -Optimizing system performance -Challenges in different seasons -Parallel compression and system tuning Helpful Links & Resources: Danfoss Coolselector®2 Chris Brown on LinkedIn Controller Talk Podcast S3 E13: “Inside Supermarket Refrigeration with Refrigeration Mentor, Trevor Matthews”  

In episode 269 of the Antler Up Podcast, I welcome back Jim D'Agostino to continue our deep dive into the world of archery. This week, we break down bow sights—from the reliability of the sights we have used and using to the nuances of peep sight choices and sight calibration at key yardages like 20 and 60 yards. We also cover the pros and cons of fixed versus adjustable pins, arrow setup, and share advice for new archers looking to build confidence and consistency. Whether you're dialing in your gear or just getting started, this conversation is packed with insights to help you get the most out of your archery setup. Beyond the gear talk, Jim and I dive into the importance of balancing fitness, family, and the outdoors. We share personal stories about managing family time when life gets hectic, the mental and physical benefits of getting back into a solid fitness routine, and the excitement of scouting new hunting locations. It's a candid, practical, and passionate conversation that blends real-life experience with tactical tips to help you become a better, more prepared hunter. Antler Up! So, grab your gear, sit back, and join us on this episode as we Antler Up with Jim! Stay tuned, stay safe, and Antler Up! www.antlerupoutdoors.com www.tethrdnation.com www.huntworthgear.com www.sportsmensempire.com https://thebowtiquellc.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

In episode 269 of the Antler Up Podcast, I welcome back Jim D'Agostino to continue our deep dive into the world of archery. This week, we break down bow sights—from the reliability of the sights we have used and using to the nuances of peep sight choices and sight calibration at key yardages like 20 and 60 yards. We also cover the pros and cons of fixed versus adjustable pins, arrow setup, and share advice for new archers looking to build confidence and consistency. Whether you're dialing in your gear or just getting started, this conversation is packed with insights to help you get the most out of your archery setup.Beyond the gear talk, Jim and I dive into the importance of balancing fitness, family, and the outdoors. We share personal stories about managing family time when life gets hectic, the mental and physical benefits of getting back into a solid fitness routine, and the excitement of scouting new hunting locations. It's a candid, practical, and passionate conversation that blends real-life experience with tactical tips to help you become a better, more prepared hunter. Antler Up!So, grab your gear, sit back, and join us on this episode as we Antler Up with Jim! Stay tuned, stay safe, and Antler Up!www.antlerupoutdoors.comwww.tethrdnation.comwww.huntworthgear.comwww.sportsmensempire.comhttps://thebowtiquellc.com/

We're All Finetuning Incorrectly // MLOps Podcast #304 with Tanmay Chopra, Founder & CEO of Emissary.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractFinetuning is dead. Finetuning is only for style. We've all heard these claims. But the truth is we feel this way because all we've been doing is extended pretraining. I'm excited to chat about what real finetuning looks like - modifying output heads, loss functions and model layers, and it's implications on quality and latency. Happy to dive deeper into how DeepSeek leveraged this real version of finetuning through GRPO and how this is nothing more than a rediscovery of our old finetuning ways. I'm sure we'll naturally also dive into when developing and deploying your specialized models makes sense and the challenges you face when doing so.// BioTanmay is a machine learning engineer at Neeva, where he's currently engaged in reimagining the search experience through AI - wrangling with LLMs and building cold-start recommendation systems. Previously, Tanmay worked on TikTok's Global Trust&Safety Algorithms team - spearheading the development of AI technologies to counter violent extremism and graphic violence on the platform across 160+ countries.Tanmay has a bachelor's and master's in Computer Science from Columbia University, with a specialization in machine learning. Tanmay is deeply passionate about communicating science and technology to those outside its realm. He's previously written about LLMs for TechCrunch, held workshops across India on the art of science communication for high school and college students, and is the author of Black Holes, Big Bang and a Load of Salt - a labor of love that elucidated the oft-overlooked contributions of Indian scientists to modern science and helped everyday people understand some of the most complex scientific developments of the past century without breaking into a sweat! // Related Links~~~~~~~~ ✌️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 Tanmay on LinkedIn: /tanmayc98

Brian Greene is a professor of physics and mathematics at Columbia University, director of its centre for theoretical physics, and the chairman of the World Science Festival. He is best known for his work on string theory, especially in his book “The Elegant Universe”, which turns 25 this year.

In this episode of the Antler Up Podcast, Jim D'Agostino and I catch up on recent adventures, from fishing trips with family to discussing the importance of staying hydrated and maintaining an active outdoor lifestyle. We then dive into archery gear talk, focusing on release aids, shooting techniques, and why finding the right setup is crucial for consistency and accuracy. Whether it's adjusting tension, anchor points, or experimenting with different release styles, we break down the importance of tinkering with gear to match personal shooting preferences. Beyond archery equipment, we highlight fitness and preparation for the upcoming hunting season, discussing how staying in shape, practicing consistently, and making small adjustments can have a big impact in the field. Your body is the most important piece of equipment, and we talk about how nutrition, hydration, and training play a role in overall hunting success. If you're looking to dial in your release aid, improve your shooting mechanics, and stay motivated for the season ahead, this episode is packed with useful insights!

In this episode of the Antler Up Podcast, Jim D'Agostino and I catch up on recent adventures, from fishing trips with family to discussing the importance of staying hydrated and maintaining an active outdoor lifestyle. We then dive into archery gear talk, focusing on release aids, shooting techniques, and why finding the right setup is crucial for consistency and accuracy. Whether it's adjusting tension, anchor points, or experimenting with different release styles, we break down the importance of tinkering with gear to match personal shooting preferences.Beyond archery equipment, we highlight fitness and preparation for the upcoming hunting season, discussing how staying in shape, practicing consistently, and making small adjustments can have a big impact in the field. Your body is the most important piece of equipment, and we talk about how nutrition, hydration, and training play a role in overall hunting success. If you're looking to dial in your release aid, improve your shooting mechanics, and stay motivated for the season ahead, this episode is packed with useful insights!

Christian Trummer ist Co-Founder des Wiener Krypto-Unicorns Bitpanda und war acht Jahre lang dessen Chief Technology Officer (CTO). Vor rund zwei Jahren wechselte er dann in die Rolle des Chief Scientist. Als solcher leitet er ein Team, das sich außerhalb der klassischen-Strukturen ausschließlich mit künstlicher Intelligenz beschäftigt. Im brutkasten-Talk erzählt Trummer, wie Bitpanda erste KI-Projekte umgesetzt hat und warum sein Team derzeit vor allem auf interne Automatisierung setzt. Er erläutert, warum manche Entwicklungen im Bereich KI hinter den frühen Erwartungen zurückbleiben. Im Talk geht es außerdem um die regulatorischen Aspekte, die bei KI-Anwendungen im Fintech-Bereich eine Rolle spielen, und wie Bitpanda damit umgeht. Und Trummer erklärt, warum das Finetuning von KI-Modellen für Startups oft keinen Sinn ergibt.

Dr. Joe Sirven discusses mental sharpness and a breakthrough treatment for essential tremors.

(Cloud Mountain Retreat Center)

(Cloud Mountain Retreat Center)

Texas Rangers Opening Day to the MLB Baseball season is one week away!  Jacob deGrom, Corey Seager, Joe Pederson, and Adolis Garcia are excited for the season. There will be bunting, there will be fanfare, there will be baseball. 

Why it's OK to hate people on sight ■ Why you should always boo a shitty performance ■ Why open mic nights suck ■ How western culture dulls our instincts ■ What makes victims, victims? ■ Biden and OJ Simpson – any difference?

Travis Addair is Co-Founder & CTO at Predibase. In this episode, the discussion centers on transforming pre-trained foundation models into domain-specific assets through advanced customization techniques.Subscribe to the Gradient Flow Newsletter

Here is the video link-This is the 4th in a series of 9 Boot Camp videos/podcasts.  The previous three segments covered :Stocks vs. BondsThe Ultimate Buy and Hold Portfolio Sound Investing Portfolios.In this presentation Paul focuses on the differences between the risks and returns of different percentages stocks and bonds.  He also discusses one table that mixes different percentages of the S&P 500 and small cap value.Here are a couple of videos that focus on small cap value.$13.83 Million? Yes Please! Paul Merriman's Small Cap Value StrategyThe one asset class you must own

John Palazza from CentML joins us in this sponsored interview to discuss the critical importance of infrastructure optimization in the age of Large Language Models and Generative AI. We explore how enterprises can transition from the innovation phase to production and scale, highlighting the significance of efficient GPU utilization and cost management. The conversation covers the open-source versus proprietary model debate, the rise of AI agents, and the need for platform independence to avoid vendor lock-in, as well as emerging trends in AI infrastructure and the pivotal role of strategic partnerships.SPONSOR MESSAGES:***CentML offers competitive pricing for GenAI model deployment, with flexible options to suit a wide range of models, from small to large-scale deployments. Check out their super fast DeepSeek R1 hosting!https://centml.ai/pricing/Tufa AI Labs is a brand new research lab in Zurich started by Benjamin Crouzier focussed on o-series style reasoning and AGI. They are hiring a Chief Engineer and ML engineers. Events in Zurich. Goto https://tufalabs.ai/***TRANSCRIPT:https://www.dropbox.com/scl/fi/dnjsygrgdgq5ng5fdlfjg/JOHNPALAZZA.pdf?rlkey=hl9wyydi9mj077rbg5acdmo3a&dl=0John Palazza:Vice President of Global Sales @ CentMLhttps://www.linkedin.com/in/john-p-b34655/TOC:1. Enterprise AI Organization and Strategy [00:00:00] 1.1 Organizational Structure and ML Ownership [00:02:59] 1.2 Infrastructure Efficiency and GPU Utilization [00:07:59] 1.3 Platform Centralization vs Team Autonomy [00:11:32] 1.4 Enterprise AI Adoption Strategy and Leadership2. MLOps Infrastructure and Resource Management [00:15:08] 2.1 Technology Evolution and Enterprise Integration [00:19:10] 2.2 Enterprise MLOps Platform Development [00:22:15] 2.3 AI Interface Evolution and Agent-Based Solutions [00:25:47] 2.4 CentML's Infrastructure Solutions [00:30:00] 2.5 Workload Abstraction and Resource Allocation3. LLM Infrastructure Optimization and Independence [00:33:10] 3.1 GPU Optimization and Cost Efficiency [00:36:47] 3.2 AI Efficiency and Innovation Challenges [00:41:40] 3.3 Cloud Provider Strategy and Infrastructure Control [00:46:52] 3.4 Platform Independence and Vendor Lock-in [00:50:53] 3.5 Technical Innovation and Growth StrategyREFS:[00:01:25] Apple Acquires GraphLab, Apple Inc.https://techcrunch.com/2016/08/05/apple-acquires-turi-a-machine-learning-company/[00:03:50] Bain Tech Report 2024, Gartnerhttps://www.bain.com/insights/topics/technology-report/[00:04:50] PaaS vs IaaS Efficiency, Gartnerhttps://www.gartner.com/en/newsroom/press-releases/2024-11-19-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-total-723-billion-dollars-in-2025[00:14:55] Fashion Quote, Oscar Wildehttps://www.amazon.com/Complete-Works-Oscar-Wilde-Collins/dp/0007144369[00:15:30] PointCast Network, PointCast Inc.https://en.wikipedia.org/wiki/Push_technology[00:18:05] AI Bain Report, Bain & Companyhttps://www.bain.com/insights/how-generative-ai-changes-the-game-in-tech-services-tech-report-2024/[00:20:40] Uber Michelangelo, Uber Engineering Teamhttps://www.uber.com/en-SE/blog/michelangelo-machine-learning-platform/[00:20:50] Algorithmia Acquisition, DataRobothttps://www.datarobot.com/newsroom/press/datarobot-is-acquiring-algorithmia-enhancing-leading-mlops-architecture-for-the-enterprise/[00:22:55] Fine Tuning vs RAG, Heydar Soudani, Evangelos Kanoulas & Faegheh Hasibi.https://arxiv.org/html/2403.01432v2[00:24:40] LLM Agent Survey, Lei Wang et al.https://arxiv.org/abs/2308.11432[00:26:30] CentML CServe, CentMLhttps://docs.centml.ai/apps/llm[00:29:15] CentML Snowflake, Snowflakehttps://www.snowflake.com/en/engineering-blog/optimize-llms-with-llama-snowflake-ai-stack/[00:30:15] NVIDIA H100 GPU, NVIDIAhttps://www.nvidia.com/en-us/data-center/h100/[00:33:25] CentML's 60% savings, CentMLhttps://centml.ai/platform/

Retrieval-Augmented Generation (RAG) has become a dominant architecture in modern AI deployments, and in this episode, we sit down with Douwe Kiela, who co-authored the original RAG paper in 2020. Douwe is now the founder and CEO of Contextual AI, a startup focusing on helping enterprises deploy RAG as an agentic system. We start the conversation with Douwe's thoughts on the very latest advancements in Generative AI, including GPT 4.5, DeepSeek and the exciting paradigm shift towards test time compute, as well as the US-China rivalry in AI. We then dive into RAG: definition, origin story and core architecture. Douwe explains the evolution of RAG into RAG 2.0 and Agentic RAG, emphasizing the importance of self-learning systems over individual models and the role of synthetic data. We close with the challenges and opportunities of deploying AI in real-world enterprise, discussing the balance between accuracy and the inherent inaccuracies of AI systems.Contextual AIWebsite - https://contextual.aiX/Twitter - https://x.com/ContextualAIDouwe KielaLinkedIn - https://www.linkedin.com/in/douwekielaX/Twitter - https://x.com/douwekielaFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturck(00:00) Intro(01:57) Thoughts on the latest AI models: GPT-4.5, Sonnet 3.7, Grok 3(04:50) The test time compute paradigm shift(06:47) Unsupervised learning vs reasoning: a false dichotomy(07:30) The significance of DeepSeek(10:29) USA vs. China: is the AI war overblown?(12:19) Controlling AI hallucinations at the model level(13:51) RAG: definition and origin story(18:46) Why the Transformers paper initially felt underwhelming(20:41) The core architecture of RAG(26:06) RAG vs. fine-tuning vs. long context windows(30:53) RAG 2.0: Thinking in systems and not models(31:28) Data extraction and data curation for RAG(35:59) Contextual Language Models (CLMs)(38:04) Finetuning and alignment techniques: GRIT, KTO, LENS(40:40) Agentic RAG(41:36) General vs. specialized RAG agents(44:35) Synthetic data in AI(45:51) Deploying AI in the enterprise(48:07) How tolerant are enterprises to AI hallucinations?(49:35) The future of Contextual AI

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/CPE/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/ZPG865. CME/NCPD/CPE/AAPA/IPCE credit will be available until March 2, 2026.Fine-Tuning the Selection and Sequencing of HER2-Targeting Therapies in HER2-Positive MBC With and Without CNS Metastases: Expert Guidance on How to Individualize Therapy Based on Latest Evidence, Disease Features, Treatment Characteristics, and Patient Needs and Preferences In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and GRASP. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by an educational grant from Pfizer.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/CPE/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/ZPG865. CME/NCPD/CPE/AAPA/IPCE credit will be available until March 2, 2026.Fine-Tuning the Selection and Sequencing of HER2-Targeting Therapies in HER2-Positive MBC With and Without CNS Metastases: Expert Guidance on How to Individualize Therapy Based on Latest Evidence, Disease Features, Treatment Characteristics, and Patient Needs and Preferences In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and GRASP. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by an educational grant from Pfizer.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/CPE/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/ZPG865. CME/NCPD/CPE/AAPA/IPCE credit will be available until March 2, 2026.Fine-Tuning the Selection and Sequencing of HER2-Targeting Therapies in HER2-Positive MBC With and Without CNS Metastases: Expert Guidance on How to Individualize Therapy Based on Latest Evidence, Disease Features, Treatment Characteristics, and Patient Needs and Preferences In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and GRASP. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by an educational grant from Pfizer.Disclosure information is available at the beginning of the video presentation.

This content has been developed for healthcare professionals only. Patients who seek health information should consult with their physician or relevant patient advocacy groups.For the full presentation, downloadable Practice Aids, slides, and complete CME/NCPD/CPE/AAPA/IPCE information, and to apply for credit, please visit us at PeerView.com/ZPG865. CME/NCPD/CPE/AAPA/IPCE credit will be available until March 2, 2026.Fine-Tuning the Selection and Sequencing of HER2-Targeting Therapies in HER2-Positive MBC With and Without CNS Metastases: Expert Guidance on How to Individualize Therapy Based on Latest Evidence, Disease Features, Treatment Characteristics, and Patient Needs and Preferences In support of improving patient care, this activity has been planned and implemented by PVI, PeerView Institute for Medical Education, and GRASP. PVI, PeerView Institute for Medical Education, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.SupportThis activity is supported by an educational grant from Pfizer.Disclosure information is available at the beginning of the video presentation.

In neuroscience research, very small details can make a big difference in the results and in the way they are interpreted. If research conditions aren't carefully optimized, studies can produce inconsistent or unreliable findings, and can stall research in specific fields for months, sometimes even years. By fine-tuning their research parameters, scientists can get clearer, more accurate insights into how the brain really works. In this grad student interview episode, we discuss why optimizing basic research parameters is important to understand the pathological mechanisms of stroke. Sophie Wolkoff is a recent graduate from the Centre for Neuroscience Studies at Queen's University , where she completed her master's degree. As a master's student, she studied under the supervision of Dr. David Andrew. Their research focused on "spreading depolarizations", which are a cellular phenomenon that occurs in the brain following strokes and other traumatic brain injuries. For her thesis in particular, Sophie conducted research on how temperature affects spreading depolarization, as well as how both of these factors can influence the preparation of rodent brain slices. Aside from her passion for neuroscience, she loves traveling, rock-climbing, and spending time with family and friends. Authors: Eve Racette, Golnar Taheri Email: thinktwicepodcast@outlook.com Instagram: @thinktwice_podcast LinkedIN: Think Twice Podcast Patreon: https://www.patreon.com/ThinkTwicePodcast Disclaimer: Think Twice is a podcast for general information and entertainment purposes only. The content discussed in the episodes does not reflect the views of the podcast committee members or any institution they are affiliated with. The use of the information presented in this podcast is at the user's own risk and is not intended to replace professional healthcare services.

In this episode, I clarify the difference between reflecting feelings as a standalone reflective response and reflecting feelings within limit-setting (ACT model). While both serve important functions in CCPT, they operate differently—one builds emotional vocabulary, while the other provides validation and structure within a limit. I also address a common mistake: reflecting cognitions instead of emotions. Therapists often acknowledge what a child is thinking instead of what they are feeling, which can miss the deeper emotional experience. Understanding these distinctions ensures that our responses in the playroom are both accurate and effective in supporting children's emotional growth. If you've ever wondered why reflecting feelings looks different inside and outside of limit-setting, this episode breaks it down step by step. Play Therapy Podcast Meetup - RICHMOND, VIRGINIA - March 7th, 2025 at 6:30pm RSVP here: https://www.playtherapypodcast.com/meetup PlayTherapyNow.com is my HUB for everything I do! playtherapynow.com. Sign up for my email newsletter, stay ahead with the latest CCPT CEU courses, personalized coaching opportunities and other opportunities you need to thrive in your CCPT practice. If you click one link in these show notes, this is the one to click! If you would like to ask me questions directly, check out www.ccptcollective.com, where I host two weekly Zoom calls filled with advanced CCPT case studies and session reviews, as well as member Q&A. You can take advantage of the two-week free trial to see if the CCPT Collective is right for you. Ask Me Questions: Call ‪(813) 812-5525‬, or email: brenna@thekidcounselor.com Brenna's CCPT Hub: https://www.playtherapynow.com CCPT Collective (online community exclusively for CCPTs): https://www.ccptcollective.com Podcast HQ: https://www.playtherapypodcast.com APT Approved Play Therapy CE courses: https://childcenteredtraining.com Twitter: @thekidcounselor https://twitter.com/thekidcounselor Facebook: https://facebook.com/playtherapypodcast Common References: Cochran, N., Nordling, W., & Cochran, J. (2010). Child-Centered Play Therapy (1st ed.). Wiley. VanFleet, R., Sywulak, A. E., & Sniscak, C. C. (2010). Child-centered play therapy. Guilford Press. Landreth, G.L. (2023). Play Therapy: The Art of the Relationship (4th ed.). Routledge. Bratton, S. C., Landreth, G. L., Kellam, T., & Blackard, S. R. (2006). Child parent relationship therapy (CPRT) treatment manual: A 10-session filial therapy model for training parents. Routledge/Taylor & Francis Group. Benedict, Helen. Themes in Play Therapy. Used with permission to Heartland Play Therapy Institute.

Dialed in Parenting - Part 4:  Fine Tuning There will come a point when you will not have influence with your child. At that point, you’ll want somebody in their life they’ll listen to, saying the same things you want to say. So you need to ask two questions consistently: Is there someone in my child’s life I need to dial out? Is there someone in my child’s life I need to dial in?

Beth is back on the show as we check in on her Ironman Austria preparation! If you've been following along, you'll remember that Beth had upcoming visits with Louisa (the physio), Ray Gibbs (swim coach), and Phil Burt (bike fitter). (If you missed those discussions, check out the links in the show notes!) Now that she's completed all three sessions, we sit down to discuss her experiences and how each one is shaping her training and racing. Key topics in this episode: Beth's anxiety ahead of her swim technique assessment Why Ray asked if she'd ever learned to play a musical instrument The importance of getting a bike fit before investing in a new bike Beth's newfound title as the macro absorber—and why she's essentially been riding with the brakes on until now The surprising connections between her physio visit, swim assessment, and bike fit There's a lot to unpack in this episode, and we hope you're enjoying these conversations as much as we are! Beth and I are having a great time recording them, and we're both learning a lot along the way. Hopefully, you'll pick up something new too! If you missed the previous those previous episodes with Beth: 7 Steps to Swimming Faster Starting Strong: Building an Ironman Training Plan after a few years away   To Arrange appointments with Louisa, Ray or Phil, please use the links below Louisa Holmes - Physiotherapist Ray Gibbs - Swim Canary Wharf Phil Burt - Phil Burt Innovation   **To get a free copy of my personal daily mobility routine, please click HERE** **To download your FREE infographic ‘7 steps to swimming faster', please click HERE    Join our SWAT/High Performance Human tribe using this link, with a happiness guarantee! You can watch a brief video about the group by going to our website here, and join our SWAT High Performance Human tribe here.   You can find all of my social media links HERE: You'll also find some really great content on my Instagram and YouTube! Instagram  YouTube   Sign up for Simon's weekly newsletter Sign up for Beth's weekly newsletter To contact Beth regarding Life Coaching, please visit her website at BethanyWardLifeCoaching.uk.   If you would like to help offset the cost of our podcast production, we would be so grateful. Please click here to support the HPH podcast. Thank you! Visit Simon's website for more information about his coaching programmes.  For any questions please email Beth@TheTriathlonCoach.com.

Today we're chatting about the million-dollar question: how do you know what product to bring in (and when)?With retail shifting so quickly, it's key to understand what your wholesale buyers and your DTC customers not only want, but more importantly, what they NEED. In this episode, you'll learn about:How to determine the ideal number of product launches for your brand Timing strategies for delivering your product collections Key insights into what your buyers truly need from youFour questions to ask yourself when determining if a product idea is right for your line (and will add to your bottom line!)This convo will really help you get inside the mindset of a buyer to bring more strategic thinking to your collection planning. Enjoy the chat!CONNECT FURTHER WITH KRISTIN!Listen to the private podcast series UNLOCKING FAIRE - Get instant access HEREReady to scale on Faire? Check out The Faire BootcampWebsite: kristinfishercoaching.comInstagram @kristinfishercoachingContact: hello@kristinfishercoaching.com

In this episode of Going Forward, Eric Elliott welcomes Brian Feroldi, financial educator and investment expert, to discuss the power of financial literacy in business and investing. Brian shares his journey into investing, why understanding numbers is crucial, and how passion alone isn't enough to run a successful business.They also explore the financial pressures law firms face, including the Cash Conversion Cycle—revealing how rapid growth without the right strategy can harm a business. Whether you're an investor, entrepreneur, or business owner, this episode offers valuable insights to help you make smarter financial decisions.Connect w/ Eric Elliott: Website: ⁠⁠https://ericelliott.com/⁠⁠ Facebook: ⁠⁠https://www.facebook.com/ericelliottspeaker⁠⁠ LinkedIn: ⁠⁠https://www.linkedin.com/in/iamericelliott/⁠⁠ Instagram: ⁠⁠https://www.instagram.com/ericmelliott/⁠⁠ Twitter: ⁠⁠https://twitter.com/EricMElliott⁠⁠ Tiktok: ⁠⁠https://www.tiktok.com/@ericmelliott⁠⁠ Email: Eric@EricElliott.com Text: 843-279-5843Connect w/ Brian Feroldi: Website: ⁠⁠https://www.brianferoldi.com⁠ Read: "Why does the StockMarket Go Up" https://www.brianferoldi.com/book/ ⁠ ⁠Instagram: ⁠https://www.instagram.com/brianferoldi/ ⁠LinkedIn: https://www.linkedin.com/in/brianferoldi/ Twitter: https://x.com/brianferoldi?mx=2 Facebook: https://www.facebook.com/brian.feroldiSupercharge your online advertising campaigns with Optmyzr! Streamline management, optimize performance, and boost your ROI.Visit⁠⁠https://hs.optmyzr.com/hs/vip⁠⁠ to discover how Optmyzr can revolutionize your digital marketing.As a special treat for our listeners, sign up with the code GOINGFORWARD20 and enjoy an exclusive 20% discount on your first year with Trainual! Seize this opportunity to supercharge your operations and propel your business forward!Eric Elliott is a self-made entrepreneur and marketing expert with extensive experience crafting impactful brand narratives for clients across industries. He is the founder of VIP Marketing and Craft Creative. In 2009, Mr. Elliott started VIP Marketing with almost no resources. VIP now has a global team and is recognized as one of the top branding agencies in the USA by Clutch. co. He founded Craft Creative in 2015, a full-service video production company providing premium services to clients across the US. Eric is also the host of Going Forward, a podcast moving conversations with entrepreneurs and leaders that inspire, motivate, and challenge you to embrace possibility and make a difference. Mr. Elliott is the author of numerous articles and an active contributor to Entrepreneur Magazine, Forbes, and Medium. Recognized as a pillar of his community, the city of North Charleston established Eric Elliott Day to honor his name and legacy to inspire others.Brought to you by VIP Marketing:VIP Marketing is a digital advertising agency based in Charleston, SC. Our mission is to separate our clients from the crowd. We commit to serving and delivering their marketing and creative needs on time and within scope. So then, our goal is to partner with businesses to market to the right people and capture their attention. In brief, we get results with premium video production, social media marketing, graphic design, media planning, and media buying.

This week, in order to unpack some best practices and strategies to coach development and growth, TJ and Sam reflect on 4 ways coaches can choose the best approach.Show Notes:Intro to topic, different approaches to takeHow to pick the right oneFind your authentic voiceWhen it's time to reinvent yourselfKnowing yourselfIdentifying your gifts & blind spotsCoaching to your North starDeveloping coaching skillsApologizing to your former playersLoving, hostile, firm, and permissiveRecapSend us a Message. If you'd like us to reply, include your contact info.

Will space debris prevent us from accessing orbit and when could it happen? Is the Universe with all its rules just a lucky accident? What does "The Publisher of Universe Today" even do? Answering all these questions and more in this Q&A show.

Will space debris prevent us from accessing orbit and when could it happen? Is the Universe with all its rules just a lucky accident? What does "The Publisher of Universe Today" even do? Answering all these questions and more in this Q&A show.

Today we discuss part three of our nutrition short series. We dive into advanced nutrition strategies for peak performance, covering the importance of a high metabolic base, macronutrient cycling and effective supplement use. We emphasize the need for a strong foundation of basic habits, the body's adaptability, and informed decision-making in nutrition. We also discuss transitioning from calorie tracking to intuitive eating, the value of quality supplements, and the empowerment that comes from understanding how your body responds to different dietary choices. Tune in for a practical and insightful conversation on making informed nutrition decisions based on experience and knowledge. Chapters 00:00 Introduction to Advanced Nutrition 01:45 The Journey to Advanced Nutrition 05:05 Building a High Metabolic Base 12:21 Macronutrient Cycling for Performance 17:02 The Role of Supplements in Advanced Nutrition 18:00 Understanding Supplements and Their Importance 22:57 Transitioning to Informed Eating 29:02 The Power of Understanding Your Body's Needs Follow us on Instagram: Level Up: https://www.instagram.com/levelup_podcast_/ Sharelle: https://www.instagram.com/sharellegrant/ Dani: https://www.instagram.com/daniantonellos/ Please leave us a review to let us know what you think of our podcast xxx

In this episode of the Cognitive Revolution podcast, Logan Kilpatrick, Product Manager at Google DeepMind, returns to discuss the latest updates on the Gemini API and AI Studio. Logan delves into his experiences transitioning to DeepMind and the restructuring within Google focusing on AI. He highlights new product releases, including the Gemini 2.0 models, and their implications for developers. Logan also touches on the future of AI in text-to-app creation, the impact of reasoning and long context in models, and the broader industry trends. The conversation wraps up with insights into fine-tuning, reinforcement learning, vision language models, and startup opportunities in the AI space. SPONSORS: Oracle Cloud Infrastructure (OCI): Oracle's next-generation cloud platform delivers blazing-fast AI and ML performance with 50% less for compute and 80% less for outbound networking compared to other cloud providers. OCI powers industry leaders like Vodafone and Thomson Reuters with secure infrastructure and application development capabilities. New U.S. customers can get their cloud bill cut in half by switching to OCI before March 31, 2024 at https://oracle.com/cognitive NetSuite: Over 41,000 businesses trust NetSuite by Oracle, the #1 cloud ERP, to future-proof their operations. With a unified platform for accounting, financial management, inventory, and HR, NetSuite provides real-time insights and forecasting to help you make quick, informed decisions. Whether you're earning millions or hundreds of millions, NetSuite empowers you to tackle challenges and seize opportunities. Download the free CFO's guide to AI and machine learning at https://netsuite.com/cognitive Shopify: Shopify is revolutionizing online selling with its market-leading checkout system and robust API ecosystem. Its exclusive library of cutting-edge AI apps empowers e-commerce businesses to thrive in a competitive market. Cognitive Revolution listeners can try Shopify for just $1 per month at https://shopify.com/cognitive CHAPTERS: (00:00) Teaser (00:54) Introduction and Welcome (03:56) The Future of Text App Creation (05:15) Multimodal API and Real-World Applications (10:37) Sponsors: Oracle Cloud Infrastructure (OCI) | NetSuite (13:17) The Evolution of Long Context and Reasoning (19:19) Vision Language Models and Passive Applications (21:50) New Launches and Future Prospects (Part 1) (28:35) Sponsors: Shopify (29:55) New Launches and Future Prospects (Part 2) (31:55) Flashlight Models and Cost Efficiency (34:36) Pro Models and Frontier Applications (39:52) Evaluating AI Models (48:57) Fine-Tuning and Reinforcement Learning (51:42) Opportunities for Startups (55:52) Conclusion and Final Thoughts (56:59) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk PRODUCED BY: https://aipodcast.ing

In the Weeds Series 14 Episode 8: MSU Extension Field Crops Educators Monica Jean and Madelyn Celovsky sits down with Angie Gradiz and Brenden Kelley , MSU Extension Irrigation Educators, to discuss how to maximize your irrigation system through uniformity, scheduling and maintenance .Resources:Irrigation Scheduling Tools Factsheet General uniformity ArticleUniformity Calculation SpreadsheetStandardized Uniformity ProcedureGeneralized Irrigation Scheduling Article MSU Irrigation Scheduler Spreadsheet: click Irrigation Scheduler tab and download a copyMinnesota Checkbook MethodChecklist for irrigation winterization - IrrigationIrrigation Inspection and RepairIf your looking for other resources: Irrigation

Let's travel down under to chat with Australian MS Gym member Kerry. Learn about her rare disease and journey of: Being diagnosed with Inclusion Body Myositis (IBM) Battling muscle atrophy Living with a disease that has no treatment options Embracing the Wahls protocol and experiencing symptom relief Finding The MS Gym Using her research skills to learn more about her disease Traveling to the U.S. to attend the Wahls coaching program Joining an international MS Gym Buddy Group to find community Refocusing her schedule to manage family priorities Training like an "athlete" Planning goals and future travel plans Self-care

We talk to Google DeepMind Senior Research Scientist (and incoming Assistant Professor at Harvard), Yilun Du, about his latest paper "Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains." This paper introduces a multiagent finetuning framework that enhances the performance and diversity of language models by employing a society of agents with distinct roles, improving feedback mechanisms and overall output quality.The method enables autonomous self-improvement through iterative finetuning, achieving significant performance gains across various reasoning tasks. It's versatile, applicable to both open-source and proprietary LLMs, and can integrate with human-feedback-based methods like RLHF or DPO, paving the way for future advancements in language model development.Read an overview on the blogWatch the full discussionLearn more about AI observability and evaluation in our course, join the Arize AI Slack community or get the latest on LinkedIn and X.

This week on the Official AWS Podcast, dive into the rapidly evolving world of Large Language Model Operations (LLMOps)! Join the experts as our host Shruti interviews Piyush Kadam, Sr. Product Manager, and Lauren Mullennex, Sr. Solutions Architect at AWS to explore how Amazon SageMaker is revolutionizing the customization, evaluation, and deployment of large language models at scale. Learn more: https://aws.amazon.com/sagemaker/pipelines/

On today's Bible Answer Man broadcast (01/27/25), Hank shares on the fine-tuning of the universe as evidence for a sovereign Creator.Hank also answers the following questions:Acts 20 tells of Paul raising Eutychus from the dead. Does this contradict Hebrews 9:27 which says, “It is appointed for man to die once”? Dan - El Dorado, KS (3:07)How should we understand the separation of church and state, why cannot both be joined, and is it necessary for them to be separate? Daniel - Farmington, NM (6:11)What are the dangers of the International House of Prayer and Mike Bickel's ministry? Alex - Summerville, NJ (9:14)I am dating a lady who believes in baptism of the Holy Spirit with the evidence of tongues, which I disagree with. Should I continue to date her? Mike - Austin, TX (15:11)What are your thoughts on the Rapture and the Tribulation? Hubert - Dodge City, KS (22:08)Can you elaborate on binding and loosing in Matthew 16? Dennis - Langley, BC (24:24)

This is a free preview of a paid episode. To hear more, visit www.basuandgodin.comOn this episode of the Basu & Godin Notebook ⬇️ ➡️ Canadiens working at raising their standards again (0:00)➡️ The compete mitigates the B games (18:50)➡️ Mike Matheson's struggles (25:30)➡️ Heineman's absence is felt (52:30)➡️ Reinbacher ahead of schedule (1:01:30)➡️ Monday Mailbag (1:12:45)#hockey #canadiensmtl #basuandgodin #thenotebook #habs #podcas…

In this episode of the Effortless Podcast, hosts Dheeraj Pandey and Amit Prakash sit down with Alex Dimakis, a renowned AI researcher and professor at UC Berkeley. With a background in deep learning, graphical models, and foundational AI frameworks, Alex provides unparalleled insights into the evolving landscape of AI.The discussion delves into the detailing of foundation models, modular AI architectures, fine-tuning, and the role of synthetic data in post-training. They also explore practical applications, challenges in creating reasoning frameworks, and the future of AI specialization and generalization.As Alex puts it, "To deep seek or not, that's the $1 trillion question." Tune in to hear his take on how companies can bridge the gap between large generalist models and smaller specialized agents to achieve meaningful AI outcomes.Key Topics and Chapter Markers:Introduction to Alex Dimakis & His Journey [0:00]From Foundation Models to Modular AI Systems [6:00]Fine-Tuning vs. Prompting: Understanding Post-Training [15:00]Synthetic Data in AI Development: Challenges and Solutions [25:00]The Role of Reasoning and Chain of Thought in AI [45:00]AI's Future: Specialized Models vs. General Systems [1:05:00]Alex's Reflections on AI Research and Innovation [1:20:00]Hosts:Dheeraj Pandey: Co-founder and CEO at DevRev, formerly Co-founder and CEO of Nutanix. A tech visionary with a deep interest in AI and systems thinking.Amit Prakash: Co-founder and CTO at ThoughtSpot, formerly at Google AdSense and Bing, with extensive expertise in analytics and large-scale systems.Guest:Alex Dimakis: Professor at UC Berkeley and co-founder of Bespoke Labs, Alex has made significant contributions to deep learning, machine learning infrastructure, and the development of AI reasoning frameworks.Follow the Hosts and the Guest:Dheeraj Pandey:LinkedIn: Dheeraj PandeyTwitter: @dheeraj Amit Prakash:LinkedIn: Amit PrakashTwitter: @amitp42 Alex Shtoyanov:LinkedIn: Alex DimakisTwitter: @AlexGDimakisShare Your Thoughts:Have questions, comments, or ideas for future episodes? Email us at EffortlessPodcastHQ@gmail.comDon't forget to Like, Comment, and Subscribe for more in-depth discussions on AI, technology, and innovation!

******Support the channel****** Patreon: https://www.patreon.com/thedissenter PayPal: paypal.me/thedissenter PayPal Subscription 1 Dollar: https://tinyurl.com/yb3acuuy PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao   ******Follow me on****** Website: https://www.thedissenter.net/ The Dissenter Goodreads list: https://shorturl.at/7BMoB Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://x.com/TheDissenterYT   This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/   Dr. David Henshall is Professor of Physiology and Medical Physics at the Royal College of Surgeons in Ireland. His laboratory is studying cell and molecular mechanisms of epilepsy. His research team combines cell and molecular biology techniques, data science and bioinformatics, pharmacology, neuroscience and behavior, imaging and histology, and employs a range of experimental and human models. He is the author of Fine-Tuning Life: A Guide to MicroRNAs, Your Genome's Master Regulators.   In this episode, we focus on Fine-Tuning Life. We start by covering some basics of DNA and RNA. We talk about microRNAs: how they were discovered and how we learn about them; how they evolved; how they are produced in cells; their functions and role in fine-tuning life; how they work; and their role in evolution and speciation. We then get specifically into how they work in human development, their role in brain physiology and brain cell structure, cognition and intelligence, and brain disease. Finally, we discuss a new picture of genetics coming from gene regulation and the role of microRNAs. -- A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, JERRY MULLER, BERNARDO SEIXAS, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, FILIP FORS CONNOLLY, DAN DEMETRIOU, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, DIEGO LONDOÑO CORREA, YANICK PUNTER, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, EDWARD HALL, HEDIN BRØNNER, DOUGLAS FRY, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, WILLIAM BUCKNER, PAUL-GEORGE ARNAUD, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ALEX CHAU, AMAURI MARTÍNEZ, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, IGOR N, JEFF MCMAHAN, JAKE ZUEHL, BARNABAS RADICS, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, JESSICA NOWICKI, LINDA BRANDIN, NIKLAS CARLSSON, GEORGE CHORIATIS, VALENTIN STEINMANN, PER KRAULIS, ALEXANDER HUBBARD, BR, MASOUD ALIMOHAMMADI, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, ERIK ENGMAN, LUCY, MANVIR SINGH, PETRA WEIMANN, CAROLA FEEST, STARRY, MAURO JÚNIOR, 航 豊川, TONY BARRETT, BENJAMIN GELBART, AND NIKOLAI VISHNEVSKY! A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, AL NICK ORTIZ, NICK GOLDEN, CHRISTINE GLASS, AND KOMOMO! AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER, SERGIU CODREANU, BOGDAN KANIVETS, ROSEY, AND GREGORY HASTINGS!

Sponsorships and applications for the AI Engineer Summit in NYC are live! (Speaker CFPs have closed) If you are building AI agents or leading teams of AI Engineers, this will be the single highest-signal conference of the year for you.Right after Christmas, the Chinese Whale Bros ended 2024 by dropping the last big model launch of the year: DeepSeek v3. Right now on LM Arena, DeepSeek v3 has a score of 1319, right under the full o1 model, Gemini 2, and 4o latest. This makes it the best open weights model in the world in January 2025.There has been a big recent trend in Chinese labs releasing very large open weights models, with TenCent releasing Hunyuan-Large in November and Hailuo releasing MiniMax-Text this week, both over 400B in size. However these extra-large language models are very difficult to serve.Baseten was the first of the Inference neocloud startups to get DeepSeek V3 online, because of their H200 clusters, their close collaboration with the DeepSeek team and early support of SGLang, a relatively new VLLM alternative that is also used at frontier labs like X.ai. Each H200 has 141 GB of VRAM with 4.8 TB per second of bandwidth, meaning that you can use 8 H200's in a node to inference DeepSeek v3 in FP8, taking into account KV Cache needs. We have been close to Baseten since Sarah Guo introduced Amir Haghighat to swyx, and they supported the very first Latent Space Demo Day in San Francisco, which was effectively the trial run for swyx and Alessio to work together! Since then, Philip Kiely also led a well attended workshop on TensorRT LLM at the 2024 World's Fair. We worked with him to get two of their best representatives, Amir and Lead Model Performance Engineer Yineng Zhang, to discuss DeepSeek, SGLang, and everything they have learned running Mission Critical Inference workloads at scale for some of the largest AI products in the world.The Three Pillars of Mission Critical InferenceWe initially planned to focus the conversation on SGLang, but Amir and Yineng were quick to correct us that the choice of inference framework is only the simplest, first choice of 3 things you need for production inference at scale:“I think it takes three things, and each of them individually is necessary but not sufficient: * Performance at the model level: how fast are you running this one model running on a single GPU, let's say. The framework that you use there can, can matter. The techniques that you use there can matter. The MLA technique, for example, that Yineng mentioned, or the CUDA kernels that are being used. But there's also techniques being used at a higher level, things like speculative decoding with draft models or with Medusa heads. And these are implemented in the different frameworks, or you can even implement it yourself, but they're not necessarily tied to a single framework. But using speculative decoding gets you massive upside when it comes to being able to handle high throughput. But that's not enough. Invariably, that one model running on a single GPU, let's say, is going to get too much traffic that it cannot handle.* Horizontal scaling at the cluster/region level: And at that point, you need to horizontally scale it. That's not an ML problem. That's not a PyTorch problem. That's an infrastructure problem. How quickly do you go from, a single replica of that model to 5, to 10, to 100. And so that's the second, that's the second pillar that is necessary for running these machine critical inference workloads.And what does it take to do that? It takes, some people are like, Oh, You just need Kubernetes and Kubernetes has an autoscaler and that just works. That doesn't work for, for these kinds of mission critical inference workloads. And you end up catching yourself wanting to bit by bit to rebuild those infrastructure pieces from scratch. This has been our experience. * And then going even a layer beyond that, Kubernetes runs in a single. cluster. It's a single cluster. It's a single region tied to a single region. And when it comes to inference workloads and needing GPUs more and more, you know, we're seeing this that you cannot meet the demand inside of a single region. A single cloud's a single region. In other words, a single model might want to horizontally scale up to 200 replicas, each of which is, let's say, 2H100s or 4H100s or even a full node, you run into limits of the capacity inside of that one region. And what we had to build to get around that was the ability to have a single model have replicas across different regions. So, you know, there are models on Baseten today that have 50 replicas in GCP East and, 80 replicas in AWS West and Oracle in London, etc.* Developer experience for Compound AI Systems: The final one is wrapping the power of the first two pillars in a very good developer experience to be able to afford certain workflows like the ones that I mentioned, around multi step, multi model inference workloads, because more and more we're seeing that the market is moving towards those that the needs are generally in these sort of more complex workflows. We think they said it very well.Show Notes* Amir Haghighat, Co-Founder, Baseten* Yineng Zhang, Lead Software Engineer, Model Performance, BasetenFull YouTube EpisodePlease like and subscribe!Timestamps* 00:00 Introduction and Latest AI Model Launch* 00:11 DeepSeek v3: Specifications and Achievements* 03:10 Latent Space Podcast: Special Guests Introduction* 04:12 DeepSeek v3: Technical Insights* 11:14 Quantization and Model Performance* 16:19 MOE Models: Trends and Challenges* 18:53 Baseten's Inference Service and Pricing* 31:13 Optimization for DeepSeek* 31:45 Three Pillars of Mission Critical Inference Workloads* 32:39 Scaling Beyond Single GPU* 33:09 Challenges with Kubernetes and Infrastructure* 33:40 Multi-Region Scaling Solutions* 35:34 SG Lang: A New Framework* 38:52 Key Techniques Behind SG Lang* 48:27 Speculative Decoding and Performance* 49:54 Future of Fine-Tuning and RLHF* 01:00:28 Baseten's V3 and Industry TrendsBaseten's previous TensorRT LLM workshop: Get full access to Latent Space at www.latent.space/subscribe

Senthil Padmanabhan, VP of Platform and Infrastructure at eBay, discusses how eBay's use of fine-tuning is improving their operational workflows. He explains why fine-tuning existing models can often be more cost-effective than training from scratch, and how methods like low-ranking adaptation (LoRa) are pivotal in improving AI performance. Key Takeaways:  The impact of strategic fine tuning on achieving peak performance AI's broader impact on eBay's infrastructure, fraud detection, and customer-facing experiences The challenges of tech debt and software upgrades Case studies from eBay that illustrate productivity gains via fine-tuning Considerations for choosing between open and proprietary AI models The importance of data quality over quantity in fine-tuning processes Predictions for the future of AI development and fine-tuning techniques Guest Bio: Senthil Padmanabhan is a Vice President and Technical Fellow at eBay, where he runs Platform and Infra (private cloud) Engineering for the global eCommerce marketplace, providing infrastructure for 4000+ engineers to deliver products at scale. Before this role, he was in the Product engineering space, building consumer-facing applications at eBay and Yahoo. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

Get the GovClose Certification: https://www.govclose.com/sales-certification Join us as we talk to Ekene Imbata, founder of Facility Management Supplies and People, Inc., about his journey into government contracting. Kenny shares how he transitioned from running a software solutions business to securing his first contracts with the government. Learn about his strategic partnerships, insights into MRO products, and plans to expand into DoD and software contracts.   Ekene is just getting started and If you're looking for inspiration to break into government sales, this is the episode for you! Timestamps: [00:00:00] Introduction to Kenny Imbata and His Business Journey Overview of Facility Management Supplies and People, Inc. Initial motivation to pursue government contracting. [00:00:45] Why Government Contracting? Discovering the government as the largest buyer. Importance of targeting higher-value clients. [00:06:00] Starting Small: Registration and Early Challenges Kenny's first steps on SAM.gov and early difficulties with software contracts. [00:08:30] Teaming Up for Success Partnering with an experienced company for MRO product contracts. How joint ventures and subcontracting can fast-track success. [00:12:00] Fine-Tuning the GovCon Process Focusing on niche markets to reduce competition. Targeting specific agencies like the Navy shipyards. [00:15:30] The Challenges of Pricing and Past Performance Understanding the importance of supplier relationships and profit margins. Strategies to secure past performance for future growth. [00:18:45] Expanding into DoD and Software Contracts Kenny's exploration of custom software solutions for government needs. Navigating cybersecurity requirements like FedRAMP and NIST. [00:24:00] Building Relationships and Long-Term Success Leveraging relationships with agencies and vendors for simplified acquisitions. Kenny's advice for aspiring GovCon professionals. [00:26:00] Final Thoughts and Advice for New GovCon Entrants Kenny's top takeaways from his journey. How to reach out to Kenny for advice or collaboration. Ekene's Linkedin Profile    

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