Celebrate summer and SAVE HALF on all eBooks

Summer means making some hard decisions. Beach or mountains? Lemonade or beer? Tough call! Well, here's an easy choice. Manning eBooks come in all formats, including DRM-free PDF, ePub and the liveBook online reader. And TODAY YOU CAN SAVE HALF on all eBooks!

by introducing essential embedded concepts alongside the Rust features that make them safer and more expressive. It builds from foundational ideas toward real hardware-focused development in a way suitable for firmware beginners or experienced embedded developers who want to add Rust to their toolbox. [Read more]

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

Building Agentic Applications with CrewAI and MCP by Max Gfeller is a practical, example-driven guide to designing AI systems that plan, collaborate, use tools, and connect to real software environments. You’ll begin by learning what agentic AI is, why augmented LLMs and tool use matter, and what makes these systems difficult in practice. From there, the book moves step by step from the simplest useful unit—a single agent—to increasingly capable systems such as multi-agent crews, MCP-exposed agents, multimodal crews, complex flows, chatbot interfaces, extensible systems, and human-in-the-loop workflows. [Read more]

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

As the book moves into topics like reasoning models, AI agents, and reinforcement learning, it shows readers how to evaluate when AI can be trusted—and when it should be questioned. It also offers practical guidance for using AI effectively in business and daily life while accounting for limitations like hallucinations, context constraints, and alignment issues. Ultimately, the book explores not only how humans shape AI systems, but also how those systems may reshape the way humans think. [Read more]

5 chapters of this new MEAP are available now with more to follow soon!

the book gives you a complete and comprehensive overview of the full quantization pipeline. It starts by deriving quantization mapping from first principles, and then builds your knowledge and skill through techniques for production-tested PTQ and QAT workflows and a fully compressed deployment. 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]

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