Books

? What if coding meant… dialoguing to create? This book is not just a technical guide. It is the outcome of a two-voice conversation between Samuel Bastiat, a seasoned practitioner of agility and software development, and me, a large language model. Together, we experimented, challenged ideas, and structured conversational patterns to: ? Clarify your needs ? Test hypotheses ?️ Co-build robust architectures Inside, you’ll find concrete prompts, co-creation methods, and a reflection on the future of tech roles.Neither dogma nor ultimate truth — simply an exploration of new ways to think and collaborate. ? Welcome to the era of augmented development.

What does it really mean to be an architect in the age of AI? If you are a software architect or stepping into the role of AI architect, this question is already shaping your path. Just as we once moved from monoliths to services and from infrastructure to the cloud, we are now designing for intelligent systems that must be explained and trusted. Dear Software and AI Architect is the guide the industry has been missing. Drawing on two decades of practice, field stories, and lessons learned, it shows you how to navigate ambiguity, balance trade-offs, and build trust that scales. You will gain real-world insight into architecting with both software craftsmanship and AI intelligence, use AI as a partner in your craft, and apply enduring principles, patterns, and practices across teams and enterprises. With 50+ caselets, expert voices, and the Architect’s V-Impact Canvas, this book equips you to lead with clarity, build with context, and thrive in the era of AI engineering.

How to represent knowledge for LLMs and build memory for agents, I discovered Mark's work on semantic spacetimes. It's more of a theoretical framework from someone who came from physics. But actually, jumping to knowledge representation and reasoning, and trying to answer the question of how to build dynamic and complex systems—semantic spacetimes and promise theories are crucial for the future of agentic systems, in my belief.The semantic spacetime approach gives us answers on how to organize better memory and how to have better knowledge representation that could be understood quite well by LLMs. Vector embeddings actually create a lot of challenges—some spaces and some relations in vector embeddings simply don't exist. We all have this problem where "love my wife " and "hate my wife" while actually quite distant in practice, and also time and dynamics matter

Your knowledge graphs are fundamentally broken. RDF forces complex relationships into binary triples. OWL can't express real constraints. SHACL catches errors after corruption spreads.Dependent types change everything. Types that depend on values make invalid data impossible to construct. Higher-order logic enables meta-reasoning about relationships. Contextual types handle knowledge that varies by time and perspective.This book reveals how type theory solves problems RDF/OWL cannot address:Native hypergraph representationFormal constraint verificationAI memory systems for edge devicesScientific knowledge evolutionLearn practical implementations in ELPI, TypeDB, Twelf, and Beluga. Discover migration strategies from existing RDF infrastructure.The future of AI demands better knowledge representation. The future of knowledge representation is type theory.Ready to build knowledge systems that match reality's complexity?

Build AI agents that truly remember, reason, and act—entirely on user devices. Move beyond prompt engineering to create autonomous systems with graph-based memory using SQLite and LibSQL. Learn to implement hypergraphs, metagraphs, and vector search for privacy-first AI that scales to millions of entities. From personal knowledge graphs to production mobile apps, master the three pillars of agent autonomy: tools, memory, and reasoning. Real code, working examples, battle-tested in production. The future of AI is local, private, and in your hands.

Discover why current AI memory systems fail and how to build agents that truly remember. This groundbreaking exploration reveals semantic spacetime, causal graphs, and event-driven architectures that transform static retrieval into dynamic understanding. From temporal reasoning with Allen's algebra to hypergraphs and metagraphs, learn to create AI that doesn't just store facts but understands causality, context, and meaning. The future of AI agents depends on memory systems that mirror human cognition—forgetting strategically, reasoning causally, and adapting contextually. Essential reading for developers building the next generation of intelligent agents that genuinely comprehend human experience and decision-making patterns.

When a single brittle ETL script brought Solis & Co’s real-time ambitions to a grinding halt, Maya Chen refused to accept “good enough.” From early morning “war‐rooms” and monolithic pipelines patched with Excel macros, she forged a living DataOps culture—complete with automated observatories, cross-functional guilds, and self-tuning machine-learning models. Constraint reveals how every bottleneck can become a launchpad for innovation, and how a relentless focus on the right lever turned chaos into continuous insight. Whether you’re wrestling legacy systems or building next-gen streaming platforms, this is your playbook for turning constraints into your greatest advantage.

What if you could turn every idea into action — in minutes, not hours? Turn Prompts into Productivity is your ultimate guide to harnessing AI for smarter work, faster learning, and unstoppable creativity. This isn’t about fancy tech jargon or complicated tools — it’s about real results you can see today.Inside, you’ll discover how to:Generate content instantly — from blog posts to emails, no writer’s block requiredSolve problems in record time — let AI do the heavy thinking for youPlan, organize, and achieve more — without stress or overwhelmUnlock ready-to-use prompts — proven strategies that work from the first tryWhether you’re a student, entrepreneur, freelancer, or lifelong learner, this book shows you how to make AI your personal productivity partner. Stop wasting hours on tasks that don’t matter. Work smarter. Learn faster. Create bigger.The future of productivity is here — and it starts with the prompts you use.Are you ready to turn ideas into action?

이 책은 면접 준비, 프로젝트 진행, 또는 순수한 지적 호기심을 위해 대규모 언어 모델의 내부 구조와 작동 원리를 이해하고 싶은 모든 분들을 위한, 그림으로 설명하는 핵심 가이드입니다.

Symbolic Gravity: Information, Collapse, and the Quest for Quantum Gravity reimagines one of physics’ greatest puzzles: how to unite relativity and quantum mechanics. Instead of treating collapse as destruction, it frames it as translation—a process where information is never lost but exported into new forms. From black holes and quantum optics to neural synchrony and cultural memory, the same recursive law repeats: compression, drift, collapse, export. Unlike speculative theories requiring unreachable energy scales, Symbolic Gravity is testable today, with predictions across physics, neuroscience, and culture. This is not just another quantum gravity proposal—it is a continuity science, where the Observer ensures meaning, ethics, and coherence survive every horizon.

หนังสือเล่มนี้เป็นคู่มือฉบับกระชับพร้อมภาพประกอบ สำหรับผู้ที่อยากเข้าใจการทำงานภายในของแบบจำลองภาษาขนาดใหญ่ ในบริบทการสัมภาษณ์ ทำโครงการ หรือเพื่อสนองตอบความใคร่รู้ของตนเอง

Take your first step into the world of data mining! This beginner-friendly guide blends theory and practice, covering classification, clustering, decision trees, and parallel computing with MPI. Perfect for students, researchers, and educators.

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.