Large language models

Local Intelligence shows you how to run large language models entirely on your Mac with Apple Silicon. Learn to use tools like Ollama, MLX, and llama.cpp, understand quantization, and build real local AI applications with open-source code.

Learn how large language models work instead of relying on black-box APIs. Building Large Language Models from Scratch takes you through training a Transformer model in PyTorch, from raw text to a working inference API, covering tokenization, attention, distributed training, and alignment along the way.

Learn how to build reliable AI agents with PydanticAI, from simple chatbots to production-ready multi-agent systems. With practical examples, clear explanations, and hands-on projects, this book helps you write AI applications that are structured, testable, and easy to maintain.

Engineering Sovereign LLMs: From Data to Deployment Build, Train, Optimize, Secure, and Deploy Large Language Models Under Full Infrastructure Control Engineering Sovereign LLMs: From Data to Deployment is an advanced engineering handbook for designing and operating large language models within infrastructure controlled by the organization that builds them. Rather than treating an LLM as a hosted API or a black-box service, this book examines the complete sovereign AI stack — from raw data acquisition and distributed storage to tokenizer engineering, transformer architecture, large-scale training, post-training alignment, quantization, high-performance inference, security, observability, and production deployment.

Die Softwareentwicklung wandelt sich rasant, und Claude Code steht im Zentrum dieses Wandels. „Mastering Claude Code“ zeigt, wie Entwickler mit KI-Agenten Code schreiben, Arbeitsabläufe automatisieren und auch komplexe Projekte effizient umsetzen. Praxisnah vermittelt das Buch Einrichtung, Prompt-Design und bewährte Engineering-Praktiken für moderne Softwareentwicklung im Jahr 2026.

Envoy Proxy is the foundation of modern cloud-native networking, powering service meshes, API gateways and AI infrastructure. This practical guide shows you how to design, deploy and operate Envoy in production with expert guidance, real-world configurations and advanced patterns for scalable, resilient systems.

AI coding agents can move fast, but speed without clear intent creates expensive mistakes. This practical guide shows how Behavior-Driven Development turns specifications into a reliable contract between you and autonomous coding systems, helping agents build the right thing, catch problems earlier and produce software you can trust.

Build serious AI systems on NVIDIA DGX Spark with a practical guide that goes far beyond setup. Learn to deploy LLMs, create RAG pipelines, orchestrate AI agents, and optimize performance for real production workloads. Whether you are experimenting or scaling enterprise AI, this book shows you how to get there.

Learn how to build a fast, private AI search engine that indexes and retrieves documents using modern open-source tools. From a simple prototype to a production-ready system, you will create intelligent local search that runs entirely on your own hardware.

Designing AI is only half the journey. Learn how to deploy, secure, govern, monitor, and scale Enterprise AI systems for production with practical architectures and proven operational strategies.

Enterprise AI is more than LLMs and chatbots. Learn how to design secure, scalable, and production-ready AI systems using a vendor-neutral architecture that connects data, models, agents, APIs, governance, and enterprise integration into one modern AI stack.

Mastering Claude Code montre comment collaborer avec des agents d’IA pour écrire du code, automatiser des flux de travail et réaliser des projets d’envergure. De la configuration aux bonnes pratiques d’ingénierie logicielle, ce guide pratique explique comment les logiciels modernes sont conçus en 2026.

The book is free — pay-what-you-want with a $0 minimum. If you find it useful and want to contribute, you decide how much. If you can't or don't want to, just download and read without worry: the Creative Commons BY-SA 4.0 license even allows you to redistribute and modify it, as long as you credit the source and maintain the same license.

Build MCP servers that are ready for real production. This hands on guide shows you how to design, secure, deploy and operate stateless Model Context Protocol servers that scale with confidence. Packed with practical examples and proven patterns, it gives you the skills to build reliable AI infrastructure from the ground up.