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