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Cracking AI Agents(e-book)

Cryptic_r_j

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Table of contents
  1. Introduction
  2. What is an agent?
  3. The model
  4. The tools
  5. The orchestration layer
  6. Agents vs. models
  7. Cognitive architectures: How agents operate
  8. Tools: Our keys to the outside world
  9. Extensions
  10. Sample Extensions
  11. Functions
  12. Use cases
  13. Function sample code
  14. Data stores
  15. Implementation and application
  16. Tools recap
  17. Enhancing model performance with targeted learning
  18. Agent quick start with LangChain Production
  19. applications with Vertex Al agents Summary Endnotes
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