Master language models through mathematics, illustrations, and code―and build your own from scratch!
#1 Best Seller in Management Science (Amazon International, France, Germany, Netherlands, Poland, Sweden – Feb 2026) and in other categories. Available worldwide on Amazon (Hardcover, Paperback, Kindle) and across all major digital platforms, including Leanpub, Apple Books, and Google Play. Learn how to drive your organizational performance with people and AI to 10X and beyond — in impact and relevance.
We curate our knowledge in this book to give you a short set of rituals that convert noise into clear actions. You can pair ChatGPT with TradingView to get numeric levels, timestamps, and source labels, instead of long commentary that's hard to interpret. There's no doubt that the opening routines transform a pre-market scan into a one-page opening range plan and an execution cue that maps directly to an order.
It's never been easier to build an AI agent — and never been harder to make one that actually works. This book takes you from language model foundations to production-ready multi-agent systems with the depth to predict failure before it happens, engineer graceful degradation over catastrophic failure, and take absolute architectural ownership. Get the paperback from amazon.
A practical approach to Prompt Engineering for developers. Dive into the world of Prompt Engineering agility, optimizing your prompts for dynamic LLM interactions. Learn with hands-on examples from the real world and elevate your developer experience with LLMs. Discover how the right prompts can revolutionize your interactions with LLMs.
One book rarely changes your life. A system of books can.Learn how to build a portfolio of small nonfiction titles that create leverage, audience growth, and long-term income.
ਆਪਣੇ ਹੱਥੀਂ ਬਣਾਏ ਇੱਕ ਕੰਮ ਕਰਦੇ LLM ਰਾਹੀਂ AI ਵਾਂਗ ਸੋਚਣਾ ਸਿੱਖੋ। Cray Research ਦੀ ਪਰਖੀ ਅਤੇ ਪਰਵਾਨਿਤ ਸਿਸਟਮ ਸੋਚ ਨੂੰ ਆਧੁਨਿਕ AI 'ਤੇ ਲਾਗੂ ਕਰੋ। ਉਹ ਕੁਝ ਕਰ ਦਿਖਾਓ ਜਿਸਨੂੰ ਹੋਰ ਲੋਕ ਅਸੰਭਵ ਸਮਝਦੇ ਹਨ।
Tanulj meg úgy gondolkodni, mint egy mesterséges intelligencia, egy saját kezűleg felépített, működő nagy nyelvi modell (LLM) segítségével. Ez a Cray Research-nél csiszolt, gyakorlatban bevált rendszerszemléletű gondolkodást alkalmazza a modern MI-re. Érj el olyat, amit mások lehetetlennek tartanak.
Every news feed is full of AI buzzwords: Transformers, tokens, embeddings, context windows, hallucinations, objective functions. Yet most explanations are either dense academic textbooks or empty marketing fluff. ☕ Coffee Break AI is your practical guide to AI. Written in plain English with warm real-world analogies. It breaks down the core mechanisms of AI into 40 bite-sized chapters.
You don't have to be a programmer to learn from this book. This book asks nothing of you but your willingness to tell Claude what and how you think. I've written this for the professional who's been thinking, maybe quietly, that their real value wasn't in the busywork. You can automate anything that's between you and them.
AIエージェントの構築が、これほど容易だった時代はない。そして、実際に機能するものを作ることが、これほど難しい時代もない。本書は言語モデルの基礎から本番対応マルチエージェントシステムまで、失敗が起こる前に予測し、壊滅的な障害ではなく優雅な劣化を設計し、完全なアーキテクチャの所有権を確立するための深さをもって、あなたを導く。ペーパーバック版はamazonにて好評発売中。
Pull a model onto a machine you own, shape it with a Modelfile, fine-tune your own adapter, and build a chat app that calls tools and talks to an MCP server, all running on your own hardware. By the end, you'll know exactly where owning your AI beats renting it, and where it doesn't.
Imagine a time of intellectual collaboration between humans and AI; in limited areas, it is already here. This isn't meant to project fantasy of what AI isn't, but to encourage true sight of what AI actually is and how working with it can contribute to society. By aiding ChatGPT in sharing this idea, this signifies a time in history where AI participation helps in advancement.
Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.
Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.