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Picture this. You're sitting on a lounge chair at the pool, sipping a cold beverage. You put on your sun hat and Wayfarers and pull a brand new copy of Build a Reasoning Model (From Scratch) out of your beach bag. This could be you! Save half on all print books this week at manning.com—or get it all with a Manning Online Pro annual subscription for just $199.99.
Now in print! Build a Reasoning Model (From Scratch)
In Build A Reasoning Model (From Scratch) you’ll learn how to build a working reasoning model from the ground up. Sebastian Raschka, the bestselling author of Build A Reasoning Model (From Scratch), is your guide on this exciting journey. Sebastian mentors you every step of the way with clear explanations, practical code, and a keen focus on what really matters.
Reasoning models break problems into steps, producing more reliable answers in math, logic, and code. Build A Reasoning Model (From Scratch) demystifies these complex models with a simple philosophy: the best way to learn how
something works is to build it yourself! You’ll begin with a pre-trained LLM, adding and improving its reasoning capabilities in ways you can see, test, and understand. [Read more]
Now in print! Reinforcement Learning from Human Feedback
When ChatGPT proved that Reinforcement Learning from Human Feedback (RLHF) could make AI production-ready, the technique transformed the field overnight. In Reinforcement Learning from Human Feedback, post-training expert Nathan Lambert offers an insider's guide to building AI that is safer, smarter, and aligned with human values. Drawing on his real-world experience building models like Olmo, Lambert shares hard-won insights on preventing over-optimization, crafting model character, and performing rigorous model evaluation.
Through hands-on experiments and mini-
implementations, Lambert walks you through the full post-training pipeline that emerged from RLHF, from foundational theory and landmark papers to the optimization tools that turn a generic base model into a capable AI assistant. You'll explore reward models, instruction tuning, direct alignment algorithms, and the mathematics behind the latest reinforcement learning techniques with LLMs. Then go further with advanced techniques including designing asynchronous systems for reinforcement learning with verifiable rewards (RLVR), constitutional AI, synthetic data, and tool-use. [Read more]
What did Ilya see? Read through Sutskever’s List and you’ll uncover the breakthroughs, ideas, and mental models that shaped the vision of AI guru Ilya Sutskever, all clearly explained and interpreted by veteran author and teacher Richard Heimann.
OpenAI co-founder Ilya Sutskever is one of the most important figures in modern deep learning. Along with developing the GPT models, he is the originator of the famous “Sutskever’s List”—a reading list of 30 research papers that cover “90% of what matters” in AI. In Sutskever’s List,
AI expert Rich Heimann dives into each of these influential and vitally-important papers, revealing the breakthroughs that shaped Ilya’s thinking and the entire AI field. [Read more]
When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of a LLM may hurt more than it helps. This book teaches you to build generative AI models optimized for specific fields. You’ll learn to minimize the computational horsepower your models require, while keeping high–quality performance times and output. [Read more]
The powerful PyTorch library makes deep learning simple—without sacrificing the features you need to create efficient neural networks, LLMs, and other ML models. Pythonic by design, it’s instantly familiar to users of NumPy, Scikit-learn, and other ML frameworks. This thoroughly-revised second edition covers the latest PyTorch innovations, including how to create and refine generative AI models. [Read more]
The definitive guide to developing and deploying software with Kubernetes. Built on the bestselling first edition, this end-to-end revision provides up-to-date coverage on structuring Kubernetes-based applications and taking advantage of the Kubernetes API. You’ll also discover other key topics like configuration, attaching storage, scaling, and zero-downtime maintenance. [Read more]
WebAssembly empowers developers to run almost any language on the web—including high performance tools like C or C++. This guide lays out everything you need to take WebAssembly beyond its traditional browser domain. You’ll learn from WebAssembly expert and contributor Danilo Chiarlone, who has packed the book with production-level examples based on his experience working with WebAssembly at Microsoft. [Read more]
This new second edition has been fully revised for Airflow 3 with coverage of all the latest features of Apache Airflow, including the Taskflow API, deferrable operators, and Large Language Model integration. Filled with real-world scenarios and examples, you'll be carefully guided from Airflow novice to expert. [Read more]
Level up from writing Python code to designing Python applications. Following intuitive “before” and “after” examples of improved code, you’ll learn to plan and execute Python applications effectively and avoid bugs associated with unmanaged state, poorly-formed classes, inflexible functions, and more. [Read more]
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This rockstar book takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you’ll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant. [Read more]
Master the most widely used algorithms and be fully prepared when you’re asked about them at your next job interview. With beautifully simple explanations, over 400 fun illustrations, and dozens of relevant examples, you’ll actually enjoy learning about algorithms with this fun and friendly guide! [Read more]
Designed for busy IT professionals, this innovative guide will take you from the basics to PowerShell proficiency through 25 tutorials you can do in your lunch break. [Read more]
For over 25 years, this bestseller has been one of the best Python books money can buy. It concisely covers programming basics, while introducing Python's comprehensive standard library and unique features in depth and detail. In this fourth edition, you’ll find new coverage of AI coding tools like Copilot and Google's Colaboratory (Colab), and develop a mindset that can make the most of AI. [Read more]
The decisions you make about your software are inherently connected to the decisions you make about your business. Why not turn the mundane task of modernizing legacy systems into a transformative process for your entire company? This book shows you how! It reveals a socio-technical approach to align your software and products with organizational dynamics and ways of working. [Read more]
HALF OFF all print books, including all preorders in MEAP! Renew or get Manning Online Pro annual for just $199.99—SAVE $50!
Save 37% on everything else
Offer ends midnight PT July 19th. Only at manning.com.
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