
تعلّم بايثون من الأساسيات إلى التطبيقات العملية، وابنِ مهارات برمجية يمكنك استخدامها في مشروعات حقيقية.
Nu voi fi delicat sau corect politic. Voi spune brut și lipsit de diplomație cum văd lucrurile.
You were sold. Not a product. The fear that made you buy them. This is the receipt.
Build a real LLM inference engine from the ground up in portable C. Learn how transformers work, load SafeTensors weights, implement KV caching and optimize inference on the CPU. By the end, you will run TinyLlama locally and generate text with a complete working runtime.
What does it take to run an LLM on hardware that barely has enough memory to breathe? This practical guide takes you from transformer math and model compression to inference runtimes, benchmarking and real-world deployment, with hands-on case studies for building fully offline LLM systems on tiny devices.
Build for the next wave of AI-driven commerce before the market becomes crowded.

A clear, modern guide to homes designed for water environments — floating homes, elevated foundations, hybrid tiny homes, and sustainable flood‑resistant architecture. Beginner‑friendly, cinematic, and practical.
What makes a researcher truly exceptional? This practical guide explores the thinking, skills and habits behind great research. From finding the right questions to evaluating evidence and sharing your findings, it offers a clear, practical path to doing research that is rigorous, creative and genuinely useful.
Go beyond the basics of Tor and learn how to build private, resilient services on the dark web. From onion routing and v3 onion services to real-world threats and secure deployment, this book gives you the technical knowledge and practical skills to host privacy-critical services without exposing where they live.
What if you could build an AI that writes just like you? In Building Your LLM Twin, you'll follow a hands-on journey from raw writing data to a fully deployed AI that captures your unique voice. Learn to build, fine-tune and scale real-world LLM systems with practical code, proven techniques and the tools to take your project from concept to production.
Unlock the full potential of large language models with RAG. This book takes you from core concepts to production-ready systems, exploring everything from embeddings and search to evaluation and security. With clear explanations, runnable code and practical insights, you'll learn how to build reliable AI systems grounded in the knowledge that matters.
事情沒有做好,不等於你這個人不好。透過虛構的成人學習情境、例題與自願練習,重新思考責任、回饋與自我評價;不承諾療效或特定成長結果。