هذا الكتاب هو دليل مختصر وموضّح بالرسوم لأي شخص يرغب في فهم الآلية الداخلية للنماذج اللغوية الضخمة، سواء في سياق المقابلات أو المشاريع أو بدافع الفضول الشخصي.
The practitioner's guide to policy-space response oracles: one 84-line loop, one readable repository, and every claim backed by a committed experiment — including the ones that came out wrong.
Stop copying code snippets into chat widgets. Master closed-loop autonomous AI coding agents, local offline LLMs (Ollama/Llama 3.1), event-driven lifecycle hooks, and Model Context Protocol (MCP) runtimes.
Explore the foundations and future of modern computing—from artificial intelligence and distributed systems to cybersecurity, quantum technologies, and responsible computing. Modern Computer Science connects essential concepts with emerging technologies, real-world applications, and the challenges shaping the future of the discipline.
Master LTX 2.5 from the first prompt to the final shot. Learn to create cinematic video with synchronized audio, precise camera movement and consistent characters while avoiding the mistakes that waste time and generations. Built on official documentation and verified behavior, this is a practical guide to getting production-ready results from LTX 2.5.
Use LoRA because it forgets less. Keep the learning rate low. Mix in some general data. Stopearly. Four pieces of advice everyone repeats and almost nobody quantifies. This book measures each one — and two turn out to be doing something other than what they arecredited with. LoRA's retention is governed by a scaling constant, not by its parameterefficiency. Early stopping bounds the damage without separating it from the gain. Everyexperiment reports two numbers: the new task, and the capability you were not trying tochange.
The model is only half the system. Learn to design the scaffolding, tools, sandboxes, verification loops, and memory that turn raw LLMs into reliable, production-grade AI agents that actually finish the job.
A hands-on guide to Anthropic's command-line AI coding assistant. Learn to install, converse with, and steer Claude Code through file edits, testing, debugging, refactors, and Git workflows, then build a real project from scratch and connect it to external tools with MCP.
Chunk at 500 with 50 of overlap. Retrieve five. Add a reranker. Use hybrid search.Repeated everywhere, justified almost nowhere. This book measures them instead, on corpora built so that the correct answer follows fromhow they were made. Several results contradicted the advice: the hybrid combination lost inevery condition tested, neither reranker produced an effect above the noise floor, andattribution collapsed to 0.170 while retrieval was still reporting 0.920.
The AI Advantage shows you how to use artificial intelligence to work smarter, create more, save time, boost productivity, and discover new opportunities—even if you’re completely new to AI. With practical tools, strategies, examples, and prompts, you’ll learn how to turn AI into a powerful advantage for your personal and professional growth.
Vector databases give you a similarity metric, an index with four tuning parameters, acompression option and a way to filter — and almost no guidance on what any of it costs. This book builds each one from scratch and measures it. The proximity graph, the invertedfile, the product quantiser: implemented in NumPy, included with the text, and checkedagainst exhaustive search — so every recall figure here is exact rather than estimated.
Both parts of the Transition Playbook in one 139-page volume: the mental models, the orchestration patterns, and two 30-day plans for moving from writing code to directing agents.
Four MCP servers installed end to end without a terminal, plus a troubleshooting decision tree and five workflows to run the day you finish.