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In this part of the world the days are getting longer, and we want to maximize your free time in the sun! These Manning books will help you be more productive so you can have more of your day to yourself.
This guide expands the foundational research into judging and adapting AI systems into a collection of practical techniques you can use on the job. As you trace the progression from surface-level text matching, to semantic similarity, to judgment-based evaluation, you'll build the mental models necessary to choose the right metrics, detect failure modes, and close the loop from evaluation to alignment. [Read more]
3 chapters of this MEAP are available now, with more to follow soon!
CUDA (Compute Unified Device Architecture) provides a powerful parallel programming model AI engineers can use to tap the massive processing power of NVIDIA GPUs. This guide shows you how to work within the CUDA ecosystem, from your first kernel to implementing advanced LLM features like Flash Attention. [Read more]
5 chapters of this MEAP are available now, with more to follow soon!
This book turns research from the latest AI papers into production-ready practices for domain-specific model optimization. As you work through this practical book, you'll perform hands-on surgery on popular open-source models like Llama-3, Gemma, and Qwen to create cost-effective local Small Language Models (SLMs). [Read more]
3 chapters of this MEAP are available now, with more to follow soon!
Bigger isn't always better. When you're working in constrained environments, the sprawling capacity of an LLM might actually hurt speed, reliability, security—and your budget. This book introduces the alternative: on-device/on-prem small language models (SLMs) specialized for specific domains. Cost-effective, privacy-preserving and regulation-compliant, these custom models that are extremely efficient for both deployment and inference. [Read more]
AI expert Nathan Lambert gives a true industry insider's perspective on modern RLHF training pipelines, and their trade-offs. Using hands-on experiments and mini-implementations, Nathan clearly and concisely introduces the alignment techniques that can transform a generic base model into a human-friendly tool. [Read more]
Even when AI-generated applications seem to "just work," they're often hiding technical debt, lack of control, unverifiable logic, and other slow-burn bugs that can rot your codebase and hinder productivity. This book shows you how to go from AI-assisted coding to a AI-infused full-spectrum process author Tomasz Lelek and Artur Skowroński call vibe engineering. [Read more]
5 chapters of this MEAP are available now, with more to follow soon!
A fast, friendly guide to integrating large language models into your data workflows. In just 17 short lessons, you'll learn how AI can help you handle time-consuming data engineering tasks including transformations, calculations, and the never-ending chore of data cleaning–all illustrated with instantly-familiar SQL and Python use cases! [Read more]
9 chapters of this MEAP are available now, with more to follow soon!
SQL, Structured Query Language, is the standard way to query, create, and manage relational databases like SQL Server, PostgreSQL, and Oracle. It's also a superpower for data analysts who need to go beyond spreadsheets and BI dashboarding tools. SQL is easy to read and understand, and with this book (and a little practice) you'll be pulling data, tweaking tables, and cranking out amazing reports and presentations in no time at all! [Read more]
Learn how to create fast powerful programs in Rust in just 24 short lessons! Rust gives you modern features like a top-notch compiler, a rich ecosystem of pre-built libraries, and the same low-level performance you get with a language like C, but without the awkward syntax, complex memory management, and code safety concerns. This book guides you step by step from your first line of code. [Read more]
Automate complex tasks and processes effortlessly with PowerShell scripts. This amazing book teaches you how to write, test, and organize high-quality, reusable scripts for Windows, Linux, and cloud-based systems. [Read more]
Fixing a PostgreSQL mistake can be tricky, time-consuming, especially when you're making risky live changes to an in-use system. This book helps you spot and sidestep problems in setup, admin, querying, migrating, upgrading, and more. Follow these tested best practices to ensure top performance and future-proof your database systems for seamless change and growth. [Read more]
Understanding mistakes is the best way to improve the quality of your code. This unique book examines 100 bugs and inefficiencies common to Go applications, along with tips and techniques to avoid making them in your own projects. [Read more]
Are your T-SQL queries running slowly? Are you worried about your server's availability or bad actors trying to steal your data? Never fear! Real-world issues taken from author Peter Carter's two decade long career in SQL Server fill each chapter of this new MEAP, giving you the answers that will help set you on the right path with examples, expert guidance, useful code samples, and so much more. [Read more]
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