Winning Big with Small AI

Mark Watson

Table of Contents

Preface
- Choosing Which “Small AI” Tools to Use in this Book
Part I - Advantages of Small AI with Examples
Advantages of Small Models with Examples that Might Surprise You
Drawbacks of Small AI
Part II - Defining Metrics for Success Using LLMs
Defining Metrics for Success Using LLMs
A Fair Shootout: Evaluating Large vs. Small Models for Task Fitness
Part III - Python Examples for Switching Between Models
Using the litellm Library to Easily Switch Between Models and Model Providers
- Tool Use with LiteLLM
- LiteLLM Wrap Up
Automatically Routing to the ‘Best’ Model Using RouteLLM Library
- Implementation of a Command Line Query Utility Using RouteLLM

Winning Big with Small AI/Part I - Advantages of Small AI with Examples

Part I - Advantages of Small AI with Examples

Advantages of Small Models with examples that might surprise you.
Disadvantages of Small Models and recognizing possible problems before they happen.

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Advantages of Small Models with Examples that Might Surprise You