Build Your Own AI

A comprehensive guide for developers to create practical AI applications using example code. Designed to help you understand and implement real-world AI solutions effectively.

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About Build Your Own AI

Build Your Own AI is a developer-focused book offering a straightforward, practical approach with real-world examples. It covers essential AI topics like running LLMs locally, prompt engineering, data handling, Retrieval-Augmented Generation (RAG), tool calling, and fine-tuning. Suitable for beginners and experienced programmers alike, all examples are demonstrated in clean, easy-to-understand TypeScript code, making complex concepts accessible and implementable.

How to Use

This book provides a clear, step-by-step structure, guiding you through each topic logically. You can preview each chapter to understand its focus. While examples are in TypeScript, the principles are adaptable across programming languages, making it versatile for different developers.

Features

Language-agnostic framework for broad understanding

Practical example code in TypeScript

Extensive coverage of AI topics

Step-by-step guidance for building AI solutions

Use Cases

Deploy Large Language Models locally

Perform data extraction and creation with LLMs

Integrate AI tools with custom agents

Learn the fundamentals of model fine-tuning

Apply prompt engineering techniques

Create Retrieval-Augmented Generation (RAG) systems

Best For

Experienced programmers exploring AIAI enthusiasts and hobbyistsSoftware developersBeginner AI programmersTech professionals seeking AI skills

Pros

Structured and easy to follow

Language-neutral concepts

Comprehensive coverage of AI topics

Practical, hands-on approach

Suitable for all skill levels

Cons

Requires basic programming knowledge

Not aimed at scientific research

Examples are in TypeScript, which may require familiarity

Frequently Asked Questions

Find answers to common questions about Build Your Own AI

Who is this AI development book for?

It's designed for developers of all levels, from absolute beginners to experienced programmers, aiming to build practical AI applications. It’s not intended for scientific research but focuses on coding with large language models.

Do I need to learn Python or JavaScript to use this book?

No. The book uses TypeScript for examples, but the core concepts are applicable across programming languages. You only need basic programming skills to get started.

What topics does the book cover?

It covers AI fundamentals, running LLMs locally, prompt engineering, data extraction and creation, RAG systems, tool calling, agent integration, and model fine-tuning techniques.

Is prior experience in AI necessary?

No prior AI experience is required. The book is designed to help beginners and intermediate developers understand and implement AI projects effectively.

Can I adapt the examples to other programming languages?

Yes, while examples are in TypeScript, the underlying concepts are language-agnostic and can be adapted to other programming environments.