Winning Big With Small AI

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Winning Big With Small AI16 chapters

Begin
  1. Preface

  2. Part I - Advantages of Small AI With Examples

  3. Advantages of Small Models with Examples That Might Surprise You

  4. Drawbacks of Small AI

  5. Part II - Defining Metrics for Success Using LLMs

  6. Defining Metrics for Success Using LLMs

  7. A Fair Shootout: Evaluating Large vs. Small Models for Task Fitness

  8. Part III - Python Examples for Switching Between Models

  9. Using the LiteLLM Library to Easily Switch Between Models and Model Providers

  10. Automatically Routing to the ‘Best’ Model Using RouteLLM Library

  11. Part IV - Fast and Efficient Rag Document System

  12. RAG Using zvec Vector Datastore and Gemini-3-flash Model

  13. Part V - Using Small AI for Agentic Applications

  14. Using Hermes Agent From Nous Research as a Self-Improving Personal AI Agent

  15. Using OpenCode as a Local-First Agentic Coding Assistant

  16. Wrap Up for Winning Big With Small AI