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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model of what's happening in your Spring Boot test suite. You'll learn how to organize fast, reliable, and predictive testing pipelines, test web applications at the API and browser levels, and reliably validate the configuration, binding logic, and properties of Spring Boot applications. Throughout the book, you'll test and work with an increasingly sophisticated example application, tackling more complex use cases until you're ready to put your new skills into production!  [Read more]

4 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]

AI Agents in Action, Second Edition >> Chapter 6, "Working with memory and knowledge RAG for agents", Chapter 7, "Building robust agents for evaluation and feedback", Chapter 8, "Deploying agents and agentic systems" >> Gain an understanding of how retrieval and context augmentation can be used to support knowledge and memory in agents, and how RAG pipelines turn external text into prompt-ready context. Next, 

discover how to implement evaluation and feedback for agentic systems that are robust, reliable, and debuggable, then delve into how agents are consumed and strategies for deploying them accordingly.

Build a Reasoning Model (From Scratch) >> Chapter 8, "Distilling reasoning models for efficient reasoning" >> Because the strongest reasoning models are often too large and expensive to work with directly, onboard a technique that improves reasoning performance by training a smaller LLM (the student) on outputs produced by a larger LLM (the teacher).

Vanilla Web >> Chapter 8, "Working with templates and slots" >> Discover several techniques for improving performance, developer experience, and the organization of our web component's markup—now that our applications are growing larger and more complex.

Grokking Bayes >> Chapter 9, "Time series and state space models: Evolving a Bayesian belief over time" >> In many cases, that's the question we need to ask instead of only concerning ourselves with the end prediction. That's where time series come in. Learn about state space models and how they formalize learning as inference over evolving unknown variables, make belief trajectories explicit in these sequential models, and observe how our knowledge and uncertainty evolve over time.

Fabulous Adventures in Data Structures and Algorithms >> Chapter 11, "Anti-unification of binary terms" & Chapter 12, "Interlude two: monads" >> Discover the process that moves from the specific to the general and is especially useful in situations where we need to find similarities between different things. Then find out why monads are so powerful—and why they too are considered "generalized abstract nonsense.

Save 40% on your order this week!

Just use the code wm032326hs when you check out.

Offer ends midnight PT March 29th. Only at manning.com.