What You Will Master: The Enterprise Stack: Google Gemini + Wolfram + Watson. The Open Source Stack: Llama 3 + SymPy + ChromaDB (fully offline). The Outcome: Self-healing, near-infallible agents that never lie about data
Bauen Sie Ihr erstes LLM Schritt für Schritt. Keine Installation, nur Google Colab. Verstehen Sie, warum alles funktioniert, statt nur Code auszuführen.
Постройте свою первую LLM шаг за шагом. Никакой установки, только Google Colab. Поймите, почему всё работает, а не просто запустите код.
LLM’leri sıfırdan, adım adım inşa edin. Kodu sadece çalıştırmakla kalmayın; neden çalıştığını da anlayın. Kurulum yok—Colab’da doğrudan ilerleyin.
The future of AI isn't just about chatbots - it's about agents that think, decide, and act. Learn to build them.
Learn how to build AI agents that actually survive production — with battle-tested patterns for cost control, reliability, and scale.
What if AI didn’t just answer questions, but actually did the work? This book takes you from basic AI concepts to autonomous agents that can reason, plan, and act. No hype. No heavy math. Just clear explanations, real examples, and a builder’s mindset.
A practical guide to product engineering in an AI native era, where building shifts from manual construction to steering tools, editors, and agents. Product Engineering with AI covers platforms, agentic workflows, prompting, code quality, UX, and responsible practices for getting from prototype to production.
Unlock the secrets of stunning AI art with 665 tested prompts. Prompt Alchemy is the ultimate visual guide that teaches you not just what to type, but why it works. Stop wasting credits on bad results and transform your imagination into professional-grade masterpieces today.
Learn how large language models work by building one from scratch. This hands-on guide walks you from first principles to a working Transformer you understand inside out.
Stop wasting time on a manual sewing machine. This is your practical 2025 guide to mastering over 33 AI tools, such as Canva, Jasper, and HubSpot, to boost your marketing and increase your profits.
Prompt engineering is dying. The future belongs to domain language engineers—developers who design structured DSLs that make AI reliable, deterministic, and scalable. This practical guide teaches you how to build the languages that shape AI-driven software. With templates, and real-world examples, you'll transform from AI user to AI architect. Stop negotiating with ChatGPT. Start engineering systems that work.
Imagine a group of LEGO superheroes facing missions that require planning in layers. One hero scouts the terrain. Another maps the risks. A third builds the route. All these steps connect. None of them works alone. This is Nested Learning in action.Google uses this layered thinking to help AI break problems into parts, solve those parts in sequence, and combine them into stronger results
AI isn’t just for tech people—it’s a practical tool anyone can use to solve real problems. In this short, story-driven book, you’ll discover 10 real ways I’ve used AI in everyday life: planning travel, organizing decades of ideas, rebuilding a passion project, launching a newsletter, prototyping apps in under a minute, navigating a passport crisis, and more. Each chapter follows a simple, human framework:Need → Problem → Solution No jargon. No hype. Just clear examples of how AI can help you think better, save time, and reduce friction in your daily life. If you’re curious about AI but don’t know where to start, this book shows you what’s possible—one small, practical win at a time.