Books

Build AI inference systems that run fast, use less memory and keep your data where it belongs. This hands-on guide walks you through model deployment, performance tuning, security and production engineering with practical code and real benchmarks. No cloud dependency, no surprise bills, just efficient AI systems you control.

You can generate code faster than you can review it. That asymmetry is the real challenge of AI-assisted development — and almost nobody talks about it. Vibe Coding with OpenCode teaches the other half of the skill: not how to make AI write code, but how to make AI write code you can actually trust.

Understand how AI works, where it can fail, and when to trust its answers. A practical introduction for general readers, with no programming experience required.

A 3-day path for people who want to code with AI but get stuck before the first line: Python basics in the browser, then a real setup on your own computer, then a page with a data table published on GitHub Pages. No memorizing. You learn to read, run, and check the code the AI writes.

From Mathematical Foundations to the Future of AIMost deep learning still lives in flat, Euclidean space. Real-world data does not.This 15-chapter university textbook takes you from the basics of topology and geometry to the frontier of Geometric Deep Learning, Topological Data Analysis, equivariant networks, and optimization on manifolds.Clear explanations. Worked examples. Research roadmaps.

Skip the trial and error. 53 agent skills picked for Claude Code and Codex, with setup for both, each with who it fits, install commands, and a first run.

What if a 125B-parameter AI model could run locally on a gaming GPU with just 12 GB of VRAM? Strata makes it possible. This book takes you inside the techniques that make it work, from MoE sparsity and memory tiers to PCIe pipelining and speculative decoding, then shows you how to install, tune and troubleshoot it yourself.

Build agents that write code, fix tests, and commit changes while you sleep — safely, cheaply, and entirely on your own hardware (622 manuscript pages).

Most people use AI. Few understand how far they can take it. AI Levels gives you a practical roadmap from prompting and everyday AI use to workflows, agents, specialized systems, and AI building—one skill at a time.

AI 越来越会回答、会行动，但下一种真正重要的智能，会不会是"发现"？《当 AI 开始发现》借 AlphaEvolve、自驱实验室、自动证明与世界模型，带你看见智能的一次转向。

La inteligencia artificial está cambiando las reglas. AI Levels te lleva, paso a paso, de usuario de IA a creador de soluciones inteligentes: aprende, crea, automatiza y construye con IA.

Meta Muse changes the way you work with AI. This practical guide shows you how to write better prompts, build reliable workflows, automate everyday tasks and avoid common mistakes. Whether you're new to agentic AI or already putting it to work, you'll learn how to get more done with less friction and more confidence.

What does it take to turn an AI agent from a clever demo into something you can trust in production? This hands-on guide uses DeepSeek Harness to show how to build reliable, secure and observable agents, from a simple script to a production-ready service with budgets, tracing, evals and multi-tenant support.

Find your next useful Claude prompt in a library of 1,000 templates across 20 domains. Customize clear instructions for writing, business, development, research and everyday work—with practical guidance for checking the results.

Get started with Claude through 18 accessible lessons, original diagrams and 28 adaptable prompts. Practice with guided exercises and learn to check your results—no coding experience required.