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Sunday, November 1, 2026
Clear thinking for human decision-making
New MEAP! Author Rick Giner explores five reasoning structures revealed through AI research and shows you how to apply them to everyday problem-solving, decision-making, and teamwork. You’ll learn to recognize the shape of a problem, select the right reasoning approach, and build processes that help you move from confusion to clear, testable conclusions—with or without AI. [Read more]
Making architecture and technology choices that last
New MEAP! Go beyond intuition and technology preferences to a structured approach for choosing what to build, buy, adopt, or retire. You'll work through the full decision-making process, from defining the problem and gathering requirements to evaluating alternatives, reaching agreement, documenting your reasoning, and putting decisions into practice. [Read more]
Assessing effectiveness, reliability, and safety
New MEAP! Learn how to know—and prove—whether your LLM-based applications are ready to ship. In this practical and important book, author Panos Alexopoulos provides a data and decision-driven approach that starts with the questions you need to answer about your system and works backwards to the evidence you need to gather. [Read more]
Production-ready methods to reduce hallucination, bias, and more
Now in print! Banks, insurance companies, mortgage lenders, and other institutions that deal with big money play by different rules than the rest of the software industry. Financial software—including machine learning and AI models—has to survive contact with regulators, risk committees, and real markets. This book shows you how to design, ship, and defend AI systems that handle credit decisions, catch fraud, guide investments, and keep customers engaged, all under the constraints of a strictly regulated industry. [Read more]
A friendly guide for beginners
Now in print! Statistics are vital for almost any programmer. That doesn’t stop them seeming like a maze of formulas, probability tables, and intimidating terminology. This book makes the core ideas of statistics intuitive, practical, and surprisingly entertaining. Using relatable examples, illustrations, and clear explanations, Thomas Nield shows you how to reason about uncertainty, draw useful conclusions from data, and recognize when the numbers themselves may be misleading. [Read more]
More exciting new releases—SAVE HALF!Must see MEAPs—SAVE HALF!Accelerate AI training and inference
In this practical book written for readers with no previous GPU programming experience, author Harshwardhan Fartale introduces Triton’s innovative block-level programming model that replaces the tedious manipulation of low-level threads required by CUDA. Written for the latest hardware and LLMs, this book teaches GPU programming and Triton together, in Python, by profiling real workloads, identifying bottlenecks, and understanding why each optimization (coalescing, tiling, shared memory, reductions, and fusion) actually works. [Read more]
With examples in CUDA
Scientific simulations, graphics-intensive games, and, of course, AI models, all require the serious computing power delivered by GPUs (graphics processing units). Grokking Parallel Programming teaches you to write parallel GPU code from scratch using CUDA, NVIDIA’s platform for general-purpose GPU computing. Perfect for readers with no experience in parallel programming or CUDA, this book sets out a clear path with well-annotated code, helpful diagrams, and complete, easy-to-understand explanations! [Read more]
Transformers, LLMs, agents, and RAG
A guided tour to the new era of recommenders, powered by LLMs, agents, and context engineering. Author Kim Falk takes you from your first introduction to recommenders, to evaluation and production-ready systems. You'll explore established and cutting-edge frameworks and algorithms, as you learn how to customize and improve their outputs to fit your specific needs. [Read more]
A practical introduction to building firmware that is fast, efficient, and far safer than traditional embedded software written in C or C++. Rust gives developers the low-level control embedded systems demand, but adds modern guarantees around memory safety, data races, and error handling. In a field where a single bug can cause crashes, security flaws, or costly field failures, those guarantees are a major advantage. [Read more]
Quantization and Fast Inference
From quantization fundamentals to runtime packaging, the book gives you a complete and comprehensive overview of the full quantization pipeline. You'll learn to apply post-training quantization to production models, run quantization-aware training using fake quantization and straight-through estimators, and handle subtle tradeoffs like activation outliers in LLMs, KV cache pressure, and sub-8-bit formats like NF4 and FP4. [Read more]
More amazing HALF OFF MEAPs!
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posted by June Lesley at 5:09 AM
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