Build Your Own AI
Open siteIntroduction
Guide for developers to build real-world AI applications.
Build Your Own AI Product Information
Build Your Own AI is a developer-focused resource offering practical insights for constructing real-world AI applications. It presents a framework-free, framework-agnostic approach designed to help developers understand core concepts and patterns when working with large language models (LLMs). The book emphasizes clarity, accessibility, and applicability, using TypeScript-style examples and plain HTTP requests rather than heavy frameworks or libraries.
Who is this book for?
This book is written by a coder for coders and is suitable for absolute beginners, those with some existing knowledge, and enthusiasts who want to deepen their understanding of coding with LLMs. It’s designed to be language-agnostic, with content illustrated in clean, straightforward TypeScript and practical guidance that does not require mastering Python or JavaScript/TypeScript to get started.
Why should I buy the book?
- Provides a structured, comprehensive guide that saves time and effort by presenting essential material in a logical sequence.
- Focuses on core concepts and patterns that apply across languages and implementations.
- Delivers a thorough preview of each chapter, helping you understand the content before diving into details.
What topics are covered?
- Basic Understanding: foundational terms and meanings.
- Running LLMs locally: how to operate large language models on your own device for control, privacy, and performance.
- Prompt Engineering: frameworks for shaping model responses through well-crafted prompts.
- Data Extraction & Creation: techniques for summarization, translation, and data generation with LLMs.
- RAG (Retrieval-Augmented Generation): integrating vector databases and document retrieval for context-rich responses.
- Tool Calling: extending AI capabilities with external tools for better functionality and efficiency.
- Agents: building complex scenarios using agent-based approaches.
- Basics of Finetuning: an introduction to fine-tuning concepts and requirements.
- Tips & Tricks: practical guidance for effective use of LLMs.
Get The Book
- Preview the full book, including chapter summaries, to understand how each section unfolds before reading the full details.
- Available options include buying the book to gain access to the complete content and resources.
Core Features
- Framework-free design: no abstractions or hidden functionality; universal concepts usable in any language.
- Language-agnostic approach: content presented with a focus on core ideas rather than a single language.
- Practical, hands-on guidance: code- and HTTP-based examples that are easy to follow.
- Structured learning path: chapters arranged to build knowledge progressively.
- Preview-enabled: every chapter comes with a summarized overview for quick orientation.
- Tools and techniques for running LLMs locally, prompt engineering, and data handling.
- Introduction to advanced topics like RAG, tool calling, and agents to extend AI capabilities.
Additional Details
Author: Sebastian Wessel © Year: 2025 Format: Preview-ready content with purchase options for full access