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Build Your Own AI

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A developer's practical guide to building real-world AI applications

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Build Your Own AI
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About Build Your Own AI

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

How to Use

The book provides a structured and comprehensive guide, presenting everything you need in a clear, logical sequence. You can preview the entire book, with each chapter summarized to give you a clear overview of the content. The book uses TypeScript for examples, but the concepts are adaptable to any programming language.

Build Your Own AI's

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

Use Cases

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

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

Pros & Cons

Pros
  • Practical, hands-on code examples in TypeScript
  • Covers a wide range of modern AI topics in one book
  • Framework-agnostic, so concepts apply to any language
  • Accessible to beginners yet deep enough for experienced developers
Cons
  • Code examples are only in TypeScript (though concepts are adaptable)
  • Physical book format not mentioned; likely digital only
  • No video or interactive components mentioned

Best For

Learn to run Large Language Models on your own deviceMaster prompt engineering techniquesImplement data extraction and creation using LLMsBuild Retrieval-Augmented Generation (RAG) systemsIntegrate tools with AI agentsUnderstand the basics of fine-tuning models

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FAQ

What programming language does the book use?
The book uses TypeScript for all example code, but the concepts are designed to be adaptable to any programming language.
Is the book suitable for beginners?
Yes, it is designed for absolute beginners as well as those with existing knowledge and enthusiasts.
What topics are covered?
Topics include running LLMs locally, prompt engineering, data extraction & creation, RAG, tool calling, agents, fine-tuning basics, and tips & tricks.
Can I preview the book before buying?
Yes, the entire book can be previewed online with each chapter summarized to give a clear overview.