In this AutoGen tutorial for beginners, you’ll learn how to build a team of autonomous AI Agents powered by OpenAI’s GPT-4. AutoGen is the cutting-edge framework for creating AI multi-agent Assistants, leaving behind its competitors such as MetaGPT or ChatDev.
🤝 Connect with me 🤝
LinkedIn: https://www.linkedin.com/in/kris-ograbek/
Medium: https://medium.com/@kris-ograbek
+++ Useful Resources +++
Code: https://colab.research.google.com/drive/11HiXpnPNIN3WIJK76TG-tsraix_lhb0M?usp=sharing
+++ Sources for Autogen +++
Docs: https://microsoft.github.io/autogen/docs/Examples/AutoGen-AgentChat
GitHub: https://github.com/microsoft/autogen/tree/main
Official Paper: https://arxiv.org/abs/2308.08155
Multi-agent Conversation Framework: https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat/
SDK: https://microsoft.github.io/autogen/docs/reference/agentchat/conversable_agent/
Chapters:
0:00 Intro
1:24 Feature 1: Complete flexibility
2:39 Feature 2: Human participation
4:04 Feature 3: Multi-agent conversations
5:06 Feature 4: Flexible autonomy
5:50 User Proxy Agent autonomy explained
6:56 Assistant Agents explained
7:21 Group Chat Managers explained
9:06 AutoGen example project in Colab
11:21 GPT-4 prices 🙁
12:33 User Proxy Agent creation
13:40 Analyzing AutoGen results
16:35 AutoGen fixes the first bug
17:22 AutoGen fixes the second bug
18:12 Excitement about the results
20:45 Followup the conversation with User Proxy
24:15 AutoGen on your computer (+ function calling)
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