This repository provides introductory code examples for developing AI agents using large language models (LLMs), aimed at beginners. It serves as a companion to a book, offering a foundational understanding of LLM application development.

How It Works

The project focuses on practical, hands-on examples to guide new developers into the LLM space. It emphasizes a step-by-step approach to building AI agents, likely leveraging common LLM frameworks and APIs.

Quick Start & Requirements

• Installation: Not explicitly detailed, likely involves standard Python package management.
• Prerequisites: Python environment, potentially specific LLM API keys.
• Resources: Expected to be lightweight, suitable for local development.
• Links:
  • Book Purchase Links: GPT图解, 动手做Agent, 机器学习, 数据分析

Highlighted Details

• Companion material for a book on AI agent development.
• Focus on beginner-friendly, introductory examples.
• Covers foundational concepts in LLM application development.

Maintenance & Community

• The project appears to be a personal effort by the author, with no explicit mention of a broader community or active maintenance beyond the book's scope.

Licensing & Compatibility

• License: Not specified in the README.
• Compatibility: Likely compatible with standard Python environments.

Limitations & Caveats

The project is described as a "rough outline" and "very simple introductory examples," suggesting it may not cover advanced topics or provide production-ready code. The rapid evolution of the LLM field means examples might quickly become outdated.