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Eureka: Human-Level Reward Design via Coding Large Language Models : https://eureka-research.github.io/ Welcome to our channel where we bring you the latest breakthroughs in AI. From deep learning to robotics, we cover it all. Our videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on our latest videos. Was there anything we missed? (For Business Enquiries) contact@theaigrid.com #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience #IntelligentSystems #Automation #TechInnovation

Full episode with Richard Dawkins (Apr 2020): https://www.youtube.com/watch?v=5f-JlzBuUUU Clips channel (Lex Clips): https://www.youtube.com/lexclips Main channel (Lex Fridman): https://www.youtube.com/lexfridman (more links below) Podcast full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Podcasts clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 Podcast website: https://lexfridman.com/ai Podcast on Apple Podcasts (iTunes): https://apple.co/2lwqZIr Podcast on Spotify: https://spoti.fi/2nEwCF8 Podcast RSS: https://lexfridman.com/category/ai/feed/ Richard Dawkins is an evolutionary biologist, and author of The Selfish Gene, The Blind Watchmaker, The God Delusion, The Magic of Reality, The Greatest Show on Earth, and his latest Outgrowing God. He is the originator and popularizer of a lot of fascinating ideas in evolutionary biology and science in general, including funny enough the introduction of the word meme in his 1976 book The Selfish Gene, which in the context of a gene-centered view of evolution is an exceptionally powerful idea. He is outspoken, bold, and often fearless in his defense of science and reason, and in this way, is one of the most influential thinkers of our time. Subscribe to this YouTube channel or connect on: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Patreon: https://www.patreon.com/lexfridman

In this video, I break down every topic you need to know to become an AutoGen master. Some topics include caching, best practices, enhanced inference, multi-agent setup, LLM daisy-chaining, a brand-new agent type called Teachable Agent, function calling, templating, and so much more. Enjoy :) Become a Patron 🔥 - https://patreon.com/MatthewBerman Join the Discord 💬 - https://discord.gg/xxysSXBxFW Follow me on Twitter 🧠 - https://twitter.com/matthewberman Follow me on TikTok 👋 - https://www.tiktok.com/@matthewberman60 Subscribe to my Substack 🗞️ - https://matthewberman.substack.com Media/Sponsorship Inquiries 📈 - https://bit.ly/44TC45V Need AI Consulting? ✅ - https://forwardfuture.ai Links: Use RunPod - https://bit.ly/3OtbnQx AutoGen Beginner Tutorial - https://www.youtube.com/watch?v=vU2S6dVf79M AutoGen Intermediate Tutorial - https://www.youtube.com/watch?v=V2qZ_lgxTzg AutoGen Fully Local - https://www.youtube.com/watch?v=10FCv-gCKug AutoGen 100% Open-Source - https://www.youtube.com/watch?v=FHXmiAvloUg AutoGen - https://microsoft.github.io/autogen Chapters: 0:00 - Intro 0:56 - LLM Config 6:47 - Config List 10:54 - Caching 13:31 - Enhanced Inference 19:36 - Templating 21:20 - RAG Agents 26:20 - NEW Teachable Agent 31:35 - Using Docker 32:57 - Function Calling 36:07 - Agent Tool Learning

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