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Build a Reasoning Model (From Scratch)

LLM reasoning models have the power to tackle truly challenging problems that require finding the right path through multiple steps. This book demystifies how these complex models work 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]

All chapters of this MEAP are available now!

CrewAI makes it easy to build multiagent AI systems that can automate everything from customer support to composing marketing blogs. In this book you’ll learn how to get the most out of CrewAI to organise and scale whole teams of agents. You’ll go beyond documentation basics, putting CrewAI and the model context protocol (MCP) into action to assemble agentic crews that can handle complex automation tasks. [Read more] 

4 chapters of this MEAP are available now, with more to follow soon!

Today's AI models demand a lot of memory, compute, and server horsepower—which quickly translates into cost. This book shows you how you can optimize AI models without architectural redesigns or task-specific compression. From quantization fundamentals to runtime packaging, this book gives you a complete and comprehensive overview of the full quantization pipeline! [Read more]

Apache Iceberg is an open source table format perfect for massive analytic datasets. Iceberg enables ACID transactions, schema evolution, and high-performance queries on data lakes using multiple compute engines like Spark, Trino, Flink, Presto, and Hive. An Iceberg data lakehouse enables fast, reliable analytics at scale while retaining the observability you need for compliance audits, governance, and provable data security. [Read more]