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 - AutoGen's auto-reply
6:40 - Dynamic Conversation
7:20 - AutoGen example code and notebooks

RELATED LINKS
Microsoft blog on AutoGen - https://www.microsoft.com/en-us/research/blog/autogen-enabling-next-generation-large-language-model-applications
AutoGen github repo - https://github.com/microsoft/autogen
Getting started with AutoGen - https://microsoft.github.io/autogen/docs/Getting-Started
AutoGen code examples - https://microsoft.github.io/autogen/docs/Examples/AutoGen-AgentChat
LangChain site - https://www.langchain.com
LangChain github repo - https://github.com/langchain-ai/langchain


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? Machine Learning: A Probabilistic Perspective by Kevin Murphy - https://amzn.to/3kAqThb
? Multiple View Geometry in Computer Vision by R Hartley and A Zisserman - https://amzn.to/3XKVOWi

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