at and t cellular

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 failure modes, and close the loop from evaluation to alignment. You'll employ a "working backwards" methodology that begins with what your system must get right, which directs you to the appropriate evaluation approach. Soon, you'll be making more informed tradeoffs, and expertly balancing helpfulness, safety, and brand voice in your models! [Read more]

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

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In this engaging book, author William Laolagi explores an end-to-end Electronic Health Record (EHR) application. You'll appreciate how he demystifies industry standards like HL7 and FHIR and shows you how to integrate modern approaches like event-driven messaging and AI within regulatory boundaries. As you go, you'll develop the ability to communicate effectively with stakeholders using accurate healthcare IT terminology and learn the benefits of differentiating your skill set in this challenging field. [Read more]

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

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In this book, author Leigh Griffin demonstrates how Lean thinking can shape quality, operational cost, and long-term maintainability in a workflow that includes coding agents and other modern tools. Instantly familiar concrete examples ground each concept, including pull request reviews, debugging scenarios, and CI/CD workflows that mirror real-world engineering practice. [Read more]

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

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This authoritative book explores the papers that define RAG's enduring architectural pattern. Author Ben Auffarth traces RAG's evolution from the foundational breakthroughs of REALM, RAG, and DPR to advanced architectures like FiD and Atlas. As you master the patterns behind RAG, you'll better understand tradeoffs, diagnose failures, and effectively evaluate and improve your own RAG implementations. [Read more]

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

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most important AI algorithms using relatable illustrations, interesting examples, and thought-provoking exercises. Written in simple language and with lots of visual references and hands-on code examples, it helps you build a natural intuition into how intelligent systems learn, plan, and adapt. This second edition has been thoroughly revised, with new chapters on large language models, image generation, and more. [Read more]

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]

Building AI Agents in .NET >> Chapter 1, "From Conventional Code to Agents", Chapter 2, "Building Your First Agent Step by Step", Chapter 3, "Building Chat Clients for Model Providers", & Chapter 4, "Building Responses and Self-Hosted Clients" >> Change is the only constant in the world of technology! Case in point: Semantic Kernel, which previously had been integral to the 

content of this book, is now part of a more encompassing product called the Microsoft Agent Framework. So, to provide you with content that's up to date and aligned with Microsoft's new direction, author Daniel Costea has been working hard on significant revisions. In this release, you'll find new, completely updated versions of chapters 1-4.  

Financial AI in Practice >> Chapter 12, "Augmenting investment decisions: LLM-guided portfolio allocation" >> Put our LLM—now promoted to decision advisor—to work for us as we build a repeatable decision framework that respects information timing, produces auditable recommendations, and makes human judgment scalable!

Microservices Patterns, Second Edition >> Chapter 9, "Implementing system commands with sagas" >> Explore the saga pattern—which implements distributed system commands, a common and challenging design problem in a microservice architecture—and learn why it's vital that these commands are transactional.

Rearchitecting LLMs >> Chapter 3, "A blueprint to modern transformers" >> Study the anatomy of modern transformers and gain an understanding of the foundational concepts underlying the optimization techniques you'll apply in the chapters to come.

.NET Aspire Made Easy >> Chapter 10, "Adding Legacy Apps to Aspire and Working with AI Agents" >> The author of this invaluable resource has decided that the manuscript wouldn't be complete without a chapter on how to modernize systems that are currently using a previous version of Aspire, how to leverage tooling to add existing (non-Aspire) applications to Aspire, how to integrate Aspire solutions with AI coding assistants, and more—helping you meet the future head on with Aspire!

Learn AI Data Engineering in a Month of Lunches >> Chapter 9, "Data Cleaning and Transformation Pipelines in Practice" >> Set out on the next leg of your AI-assisted data engineering journey where orchestration tools, event-streaming concepts, and AI-powered enrichment work together in pipelines that are more automated, more scalable, and ready for real-time analysis.

Vanilla Web >> Chapter 7, "Web Components" >> Explore a design pattern whose importance becomes more evident as your Vanilla Web applications grow, and see for yourself how it makes them easier to reason about, test, and maintain.

Save 35% sitewide all this week!

Offer ends midnight PT on March 22. Only at manning.com.