Artificial Intelligence

Confused by ChatGPT, Claude, Gemini, and the rapid rise of AI tools? AI Chatbots Made Simple teaches you how to use modern AI assistants confidently, safely, and effectively — with practical frameworks, real-world examples, and zero technical jargon.

نموذج التحدي: "هل أنت مستعد لعام 2026؟ العالم يتغير، والذكاء الاصطناعي لم يعد خياراً بل ضرورة للبقاء. اكتشف كيف تتحول من مستخدم عادي إلى محترف يقود الثورة."نموذج الفضول: "ما الذي يميز المحترفين الذين سيحتكرون سوق العمل في 2026؟ السر ليس في الأدوات، بل في كيفية تطويعها. دليلك الشامل بين يديك."نموذج مباشر وقوي: "من الصفر إلى الاحتراف في عالم الـ GenAI. خارطة طريق عملية لامتلاك أدوات المستقبل اليوم

Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.

Most senior engineers don't fail AI systems interviews from lack of ability—they fail because they sound like builders when they need to sound like staff. This book gives you the answer flow, the system deep dives (RAG at billion-doc scale, agentic pipelines, token-cost tradeoffs), and the behavioral stories that earn L5/L6 offers at AI-first companies. Built for senior engineers targeting Staff AI Systems roles in the next 8 to 12 weeks.

Tekoälyagentit ovat siirtyneet demoista tuotantoon. Agenttinen vallankumous näyttää teknisille päälliköille ja kehittäjille, miten agentit rakennetaan, suojataan ja viedään tuotantoon hallitusti, suomalaisesta ja eurooppalaisesta näkökulmasta.

Master the engineering principles behind Unsloth to fine-tune Large Language Models on limited hardware. Discover technical workflows for 4-bit quantization, custom Triton kernels, and Direct Preference Optimization. This guide covers the full lifecycle, including context expansion and production deployment via GGUF and vLLM. A rigorous reference for developers seeking to maximize LLM performance on consumer-grade GPUs.

From KNN to LLMs: build real AI applications in TypeScript — no GPU required. Implement machine learning from scratch, train neural networks with TensorFlow.js, integrate Google Gemini and OpenAI APIs, run local models with Ollama, build a chess engine with alpha-beta search, and query the world's knowledge graphs with SPARQL — all from the command line.

Aprende a llevar Claude Code más allá de las demos: agentes que usan herramientas, respetan permisos, dejan trazas y funcionan dentro de sistemas reales de producción. Una guía práctica para diseñar, evaluar y escalar agentes sin perder control, calidad ni seguridad.

You have been using AI as a faster keyboard.The engineers who will define the next decade are using it as a cognitive workforce they direct, constrain, and govern. The gap between those two practices is not a matter of better prompts. It is a matter of an entirely different mental model.This book is that mental model. Built from first principles. Illustrated through 28 chapters of real architectural decisions, real failures, and real production systems.From execution to orchestration. The complete practitioner guide.

In a world of infinite AI-generated text, fluency is no longer a credential—trust is. Learn how to engineer "signal" into your technical writing and build an authoritative presence that algorithms can't replicate. This is the definitive practitioner’s guide for publishing in the AI era.

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.

Stop being a data-entry clerk for a machine that never sleeps and start leading your own digital workforce. The CEO of One is the definitive roadmap for reclaiming your time and human advantage by shifting from an exhausted "User" to a high-powered "Director." Learn to command your personal army of AI agents and master the Agentic Era before it masters you.

Master the "Last Mile" of AI engineering to ship world-class apps to the App Store. Optimize the Neural Engine, manage thermal limits, and conquer the Jetsam mechanism. Navigate iOS 18 privacy manifests and implement premium monetization with StoreKit 2. Transform stochastic AI models into deterministic, compliant, and highly profitable products.

Build a "Second Brain" for your apps by mastering SwiftData, CloudKit synchronization, and persistent AI memory. Implement hardware-accelerated vector search and HNSW indexing for lightning-fast retrieval of semantic embeddings. Architect thread-safe, GDPR-compliant data layers using Swift 6 actors and advanced privacy-preserving strategies. Scale from local prototypes to production-grade distributed intelligence with definitive Apple ecosystem blueprints

Master AI integration on Apple platforms by bridging Swift 6 with OpenAI, LangChain, and autonomous agents. Build high-performance RAG pipelines using hardware-accelerated vector math and persistent local semantic memory. Architect thread-safe, real-time apps with strict concurrency, intelligent function calling, and efficient token streaming. Move from basic API calls to production-grade intelligence with the definitive guide for modern Apple developers.