Understanding AI Agents - From Basic Concepts to Multi-Agent Systems

Understanding AI Agents - From Basic Concepts to Multi-Agent Systems

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Advantages of multi-agent systems

10 of 18

10 of 18

Advantages of multi-agent systems

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Understanding AI Agents - From Basic Concepts to Multi-Agent Systems

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  1. 1 Two AI will help me to understand AI Agents
  2. 2 First Definition of an AI Agent mem, plan, ..
  3. 3 We build the simplest AI Agent possible
  4. 4 Planning w/ an LLM and Python list as memory
  5. 5 Tool use in AI Agents Code example
  6. 6 Function Calling to enhance tool use capabilities
  7. 7 Decompose complex tasks into Multi-Agent config
  8. 8 Self-improve, self-reflect & self-learn AI Agents
  9. 9 Multiple interconnected self improving AI Agents
  10. 10 Advantages of multi-agent systems
  11. 11 Advanced Definition of an AI Agent
  12. 12 RAG in the Agent Framework
  13. 13 Python Code of simple AI Agent all functions
  14. 14 Complex training data for a complex task
  15. 15 Process knowledge is a blueprint of how to plan
  16. 16 Key concept in multi-agent sys and distributed AI
  17. 17 Code example with multi-agents explained
  18. 18 GPT-4o evaluates my learning w/ Gemini-Pro

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