Autogen tutorial - next-generation LLM agents framework

Paper title: AutoGen: Enabling next-generation large language model applications. AutoGen is the next generation custom LLM agent creation framework. Autogen enables creation of LLM agents easily in few lines of code. AutoGen addresses the shortcomings of Langchain and similar LLM-enabling single-agent frameworks such as AutoGPT ChatGPT and Transformers Agents. It enables seamless development of Multi-Agent Conversational AI systems. Though communicative agent frameworks like CAMEL exist they do not yet support tool-using and code execution. AutoGen has it all. Hope this video is useful to learn about AutoGen. TIMELINES 0:00 - Drawbacks of LangChain 0:56 - AutoGen 1:10 - Agents 1:45 - Multi-agent example one 3:30 - Developing multi-agent systems 4:10 - Multi-agent example two 5:05 - AutoGen Implementation 5:55 - AutoGens auto-reply 6:40 - Dynamic Conversation 7:20 - AutoGen example code and notebooks RELATED LINKS Microsoft blog on AutoGen - AutoGen github repo - Getting started with AutoGen - AutoGen code examples - LangChain site - LangChain github repo - ? ? ? MY SOFTWARE TOOLS ? ? ? Notion - Notion AI - ? OBS Studio for video editing - ? ? ? BOOKS I HAVE READ REFER AND RECOMMEND ? ? ? ? Deep Learning by Ian Goodfellow - ? Pattern Recognition and Machine Learning by Christopher M. Bishop - ? Machine Learning: A Probabilistic Perspective by Kevin Murphy - ? Multiple View Geometry in Computer Vision by R Hartley and A Zisserman - MY KEY LINKS YouTube: Twitter: Patreon: Github: WHO AM I? I am a Machine Learning Researcherpractitioner who has seen the grind of academia and start-ups equally. I started my career as a software engineer 15 years ago. Because of my love for Mathematics coupled with a glimmer of luck I graduated with a Masters in Computer Vision and Robotics in 2016 when the now happening AI revolution just started. Life has changed for the better ever since. machinelearning deeplearning aibites transformers llm llms,

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