Ollama in Action: Building Safe, Private AI with LLMs, Function Calling and Agents

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Use Ollama to run LLMs locally for privacy and control of your tech stack. We look at Tools/function calling and agents in detail.

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Ollama in Action: Building Safe, Private AI with LLMs, Function Calling and Agents16 chapters

Begin
  1. Preface

  2. Setting Up Your Computing Environment for Using Ollama and Using Book Example Programs

  3. Using Ollama From the Command Line

  4. Short Examples

  5. LLM Tool Calling with Ollama

  6. Automatic Evaluation of LLM Results: More Tool Examples

  7. Building Agents with Ollama and the Hugging Face Smolagents Library

  8. Using AG2 Open-Source AgentOS LLM-Based Agent Framework for Generating and Executing Python Code

  9. Using the Unsloth Library on Google Colab to FineTune Models for Ollama

  10. Reasoning with Large Language Models

  11. Using Property Graph Database with Ollama

  12. Using the Open Codex Command Line Interface Coding Agent

  13. Long Term Persistence Using Mem0 and Chroma

  14. Using Ollama Cloud Services

  15. Semantic Navigator App Using Gradio

  16. Book Wrap Up