Books

Код стал дешёвым, но сложность разработки никуда не исчезла — она сместилась в управление AI-агентами.

Keyword search misses meaning. Vector search misses precision. This book shows you how to combine them into production systems that deliver both, with architecture patterns, model selection frameworks, evaluation methodology, and operational guidance grounded in primary research.

An AI system becomes an architecture problem when it can influence decisions, invoke tools, carry state or change the outside world. This practitioner playbook shows how to design Gen AI and Agentic AI systems that remain reliable, governable and defensible once they reach production.

AI is already your co-pilot. The question is whether you know how to fly with it. Flight Deck Medicine applies the proven safety frameworks of aviation — verification, trust calibration, situational awareness, confident override — to the daily realities of AI-augmented clinical practice. Through real case studies, integrated workbook exercises, and a structured five-phase curriculum, Dr. Rubin Pillay gives clinicians the cognitive tools to work safely, effectively, and defensibly alongside clinical AI. From reading a confidence score to executing an IDAR override to auditing an algorithm for racial bias, this is the definitive practical guide to being the pilot in command of modern medicine.

A 1986 text adventure game written inside the Cray I/O Subsystem turns out to be architecturally isomorphic to modern transformer design. This capstone volume uses the playable game and its assembly language source as a case study in constraint-based design, including the bare metal thinking we stopped teaching around 1995.

What if time is not merely a clock, but a filter? What if systems fail not because they lack information, but because correction arrives too late to matter? What if technologies become dominant not because they are best, but because they have already reorganized the future around themselves? And what if Human–LLM collaboration is no longer just a sequence of prompts and answers, but an evolving ecology shaped by its own artifacts? Force–Information–Time: Essays on Structural Evolution is a companion volume to the FIT framework. Rather than restating the core theory, it explores what becomes visible when structural thinking is carried across learning, institutions, science, technology, Human–LLM collaboration, and human life.

A book about the one thing no amount of AI changes: the fact that you have exactly one brain The archive of human knowledge doubles faster than any mind can follow it. Mendel’s genetics waited thirty-four years to be read. A quarter-million new theorems are proved each year that no single mathematician can survey. Elan Moritz calls the boundary where individual cognition runs out the one brain barrier 

A cross-domain methodology for governing AI agents: four pillars, implementation patterns, and the missing layer between capability and control.

You already know AI exists. You know it could save you time. But how do you actually bring it into your daily Business Central work — writing AL code, debugging, building integrations with Azure OpenAI, or preparing documentation for a client?This book shows you exactly how.

Don't waste your time to learn how to code. That's what AI is here for. This book focuses on the far more profound question: What to code? This is the new meta skill between now and 2030!

A great technical book should be more than just an accumulation of knowledge; it should serve as a starting point for deep thinking and continuous practice. May this book accompany you on your journey of exploring LLM. May you not only gain a profound understanding of technical principles and a solid improvement in application skills, but also develop a keen technical intuition through practice, experience those enlightening “aha!” moments on key issues, and keep progressing with joy.

Forget the six-month boot camp hype—real AI/ML engineering is a rigorous, hands-on discipline. This practical field manual bridges the gap between marketing promises and real-world execution, guiding you through everything from complex distributed systems to midnight CUDA debugging. Discover the unvarnished truth and gain the clear direction you need to transition from an AI enthusiast to a true practitioner.

In a world of superhuman machine speed, the last human advantage isn't what you know—it’s how well you understand your own knowing.Stop trying to "keep up" with AI and start building your metacognitive moat. Whether you are a manager making high-stakes decisions or a knowledge worker navigating augmented workflows, this book provides the cognitive architecture to thrive.Don't just compete with the algorithm; master the thinking that directs it.

Víš, že AI existuje. Víš, že by ti mohla ušetřit čas. Ale jak ji skutečně zapojit do každodenní práce s Business Central — do psaní AL kódu, ladění chyb, tvorby dokumentace nebo integrace s Azure OpenAI?Tato kniha ti ukáže jak.

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