B

Build Your Own AI

3.4
💬24
💲Free

Build Your Own AI is a comprehensive guide for developers to learn how to create real-world AI applications. It provides practical examples in TypeScript, covering topics like prompt engineering, RAG, tool calling, and fine-tuning. The book is structured logically and suitable for all skill levels.

💻
Platform
web
AIAgentsBookData ExtractionDeveloper GuideFinetuningLLMs

What is Build Your Own AI?

Build Your Own AI is a practical guide for developers to build real-world AI applications with example code. It is designed for absolute beginners, those with some existing knowledge, and enthusiasts alike. The book covers core concepts and patterns that every developer can benefit from, illustrated in clean, straightforward TypeScript. Topics include running LLMs locally, prompt engineering, data extraction, RAG, tool calling, agents, basics of fine-tuning, and tips & tricks.

Core Technologies

  • TypeScript
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Tool Calling
  • Fine-Tuning

Key Capabilities

  • Build real-world AI applications
  • Learn to run LLMs locally
  • Master prompt engineering techniques
  • Implement data extraction and creation using LLMs
  • Build RAG systems
  • Integrate tools with AI agents

Use Cases

  • Run Large Language Models on your own device
  • Master prompt engineering techniques for better AI interactions
  • Implement data extraction and creation using LLMs
  • Build Retrieval-Augmented Generation (RAG) systems
  • Integrate tools with AI agents for enhanced functionality
  • Understand the basics of fine-tuning models for customization

Core Benefits

  • Straightforward and practical approach to learning AI
  • Suitable for developers of all levels
  • Language-agnostic concepts for universal understanding
  • Comprehensive coverage of AI topics
  • Clear and logical structure for easy learning

Key Features

  • Practical guide to building AI applications
  • Example code in TypeScript
  • Covers a wide range of AI topics
  • Framework-free approach for universal understanding

How to Use

  1. 1
    Preview the entire book with chapter summaries for an overview of content
  2. 2
    Follow the structured guide to learn AI concepts step by step
  3. 3
    Use the TypeScript examples provided, or adapt them to your preferred programming language
  4. 4
    Explore topics like prompt engineering, RAG, and fine-tuning through hands-on examples

Frequently Asked Questions

Q.Who is this book for?

A.This book is written by a developer for developers and is perfect for absolute beginners, those with some existing knowledge, and enthusiasts alike. It's not designed for scientists, but it caters to everyone else looking to deepen their understanding and skills in coding with large language models.

Q.Do I need to learn Python or JavaScript/TypeScript?

A.You won’t need to learn a new language to dive into this book. It’s designed with YOU in mind, regardless of the programming language you’re most comfortable with. The examples are in TypeScript, but the core concepts and patterns are universal.

Q.What topics are covered in the book?

A.The book covers topics such as basic understanding of AI terms, running LLMs locally, prompt engineering, data extraction & creation, RAG, tool calling, agents, basics of fine-tuning, and tips & tricks.

Pros & Cons (Reserved)

✓ Pros

  • Straightforward and practical approach to learning AI
  • Suitable for developers of all levels
  • Language-agnostic concepts for universal understanding
  • Comprehensive coverage of AI topics
  • Clear and logical structure for easy learning

✗ Cons

  • Examples are in TypeScript, which may require some familiarity
  • Not designed for scientists
  • Requires some programming knowledge

Alternatives

No alternatives found.