Books

Discover Emacs without the steep learning curve. The Practical GNU Emacs Guide takes you from your first keystrokes to powerful custom workflows, covering editing, Org mode, Dired, TRAMP, Emacs Lisp and more. Whether you write, code or manage systems, you’ll learn how to make Emacs truly work for you.

Ever wondered what actually happens inside a Transformer? Follow “A-to-Z Transformer Walkthrough: “The capital of France is ___?”” through a complete miniature decoder-only Transformer—from embeddings, Q/K/V and multi-head attention to FFNs, logits, softmax, and finally “Paris.” Every major step is explained with real numbers and reproducible Python code.

Master Django by building the kind of web applications people actually use. Start with the fundamentals, then move into APIs, security, performance, frontend integration and production deployment. With practical projects and professional techniques throughout, this guide takes you from your first Django app to software built for the real world.

This book explains how Toyota uses DRBFM as a practical extension of FMEA during the design phase, where up to 80% of product quality is determined. Instead of repeating a generic FMEA, DRBFM zeroes in on design changes, asking: What could go wrong because of this change?

The secret lies in two simple patterns: Improvement Kata and Coaching Kata.In this concise and practical guide, Dr. Mohamed H. Soliman breaks down Toyota’s habit-building system for daily progress and leadership development.

One issue. One source. One proof question. A cleaner way to move from claim to evidence.

Mark the roles. Trace the authority. Separate the claim from the proof. Read the document as a map.

The correct chunk was retrieved. The answer was still wrong. Can you explain why in the next thirty seconds? Most candidates cannot. Cracking the RAG Interview trains you to be the one who can.

Three full passes. One focused half-pass. A repeatable way to find patterns without losing the evidence trail.

La IA no toma decisiones: traduce el criterio del profesional que conoce su organización. Primero es el criterio. Hasta después es la herramienta.

The eight volumes before this one each teach a single domain, and each is deliberatelyself-contained. The exams do not ask about domains — they ask about systems, and a system spansall of them at once. "A retrieval system is slow, expensive and occasionally wrong — which do you fix first?" needsretrieval, optimisation and operations together. Every one of the 150 questions here crosses atleast two domains, because that is the specific thing a single-domain book cannot teach you.

"The model is safe." "The filter is effective." "We red-teamed it and found nothing." "Wereviewed a sample and it looked fine." Each of those is a claim about evidence, and each is unfalsifiable as stated. Reviewing thirtyoutputs and finding no problems is consistent with a failure rate of one in eleven. Threehundred tests against a thousand possible failure modes leave seven hundred nobody looked at. This book supplies the missing arithmetic — and it was written without generating a singleharmful output to study.

A model that works in development and fails in production usually fails for reasons that havenothing to do with the model. It waits behind other requests. It loads slowly after a restart.It answers differently because somebody moved a decoding parameter by a tenth of a point. Aguardrail blocks a third of legitimate traffic and reports itself as working. None of those appear in a benchmark. They appear in an incident — and almost every one of themis invisible in an instantaneous measurement and obvious in a trend.

Quantise the weights. Batch the requests. Add a draft model. Prune what you can. Shorten thecache. A long list of techniques and a short list of reasons. This book measures the reason first: the machine streams memory at 22.54 GB/s and computes at116.58 GFLOP/s, so anything performing fewer than 5.17 operations per byte is waiting. Decodingperforms 0.22. Every technique in the book is then measured against that one number — andseveral turn out to be addressing the wrong side of it.

The plugin was deleted. The malware came back. This real WordPress investigation shows why. Follow a multi-layer infection across plugins, MU plugins, drop-ins, theme code, database records, memory, recovery archives, administrator access, and browser persistence—and learn how to remove the recovery system instead of deleting one visible symptom.