@BillysCoding @HL7 A noble goal! And very much needed.
English
Manning Publications
70.4K posts
Manning Publications
@ManningBooks
Follow Manning Publications on X and get exclusive discounts, product announcements, author news, and great content.
Shelter Island, United States Katılım Mart 2009
2.1K Takip Edilen30.5K Takipçiler
Check out my book. A lot of people are jumping into this space with no clue why we do things the way we do. I'm trying to educate the world on healthcare IT and interoperability.
@HL7
Manning Publications@ManningBooks
📣 Deal of the Day 📣 Mar 19 HALF OFF NEW MEAP! Healthcare IT: Build and run real-world health systems & selected titles: hubs.la/Q047yFz70 This book demystifies industry standards and explores an end-to-end Electronic Health Record (EHR) application. @BillysCoding #healthcareIT #EHR #FHIR #HL7 #app #healthcare Healthcare IT systems are extraordinarily complex, highly regulated, and intensely private. They can also can literally be a matter of life or death! This book delivers the skills and domain knowledge you need to become an effective contributor to - or leader of - a healthcare IT team. 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.
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This looks like it’s starting from perspectives of fun parts… maybe another good target to translate
I prefer looking at funny sides of boring/serious things
Manning Publications@ManningBooks
AI is shifting from answering questions to acting on our behalf. That makes safety, security, and oversight far more important. At #SXSW today, @NumaDhamani and Maggie Engler, authors of Intro to Gen AI, 2nd Ed, are discussing what responsible AI autonomy looks like in their talk "Safety and Security in the Age of AI Autonomy." Watch virtually or attend at 1pm CT: hubs.la/Q047ddXN0 Explore their book — 45% off with code dhensxsw26 through March 31st: hubs.la/Q047djWy0
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Good point! In the chapters currently available, not explicitly. That said, it does cover items relevant to multi-hop retrieval chains, like operations/monitoring and feedback loops. Additionally, if you have a certain eval angle you care about most, like faithfulness per hop, there's likely a section on it that provides some guidance for building it into a governance-ready test plan.
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@abhinav_kimothi @LeemayNassery @ManningBooks Counterfactual evals are underrated — most teams stop at offline accuracy and miss the "what would the model have said with different context" question entirely. In agentic RAG pipelines especially, that gap bites hard. Does the book cover eval for multi-hop retrieval chains?
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I just read the first 6 chapters of AI Model Evaluation by @LeemayNassery & @ManningBooks
Eval ✅ Offline 📊 System ⚡ Counterfactuals 🔄 Off-policy 📐 A/B 🧪 | Next: HITL, LLM-judge & ROI 👀
It’s not just about accuracy—it’s about trust & readiness.
hubs.ly/Q03HfKkm0
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📣 Deal of the Day 📣 Mar 19
HALF OFF NEW MEAP!
Healthcare IT: Build and run real-world health systems & selected titles: hubs.la/Q047yFz70
This book demystifies industry standards and explores an end-to-end Electronic Health Record (EHR) application. @BillysCoding #healthcareIT #EHR #FHIR #HL7 #app #healthcare
Healthcare IT systems are extraordinarily complex, highly regulated, and intensely private. They can also can literally be a matter of life or death! This book delivers the skills and domain knowledge you need to become an effective contributor to - or leader of - a healthcare IT team.
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.
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Choosing an AI algorithm isn't the hard part. But choosing the right one? Yeah, that's a different story.
Grokking AI Algorithms, 2nd Ed. by @RishalHurbans breaks down not just how algorithms work, but when and why to use them, so you can apply them with confidence, not guesswork.
Now in print — 50% off through April 5th: hubs.la/Q047mGlq0
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Spring Boot testing goes way beyond @SpringBootTest.
To build fast, reliable test suites, you need to understand slice tests, context management, lifecycles, and how @springcentral fits into the broader testing ecosystem.
Testing Spring Boot Applications by Daniel Garnier-Moiroux breaks down how it all actually works, so you can test with intent, not guesswork.
New in MEAP and half off through March 31st: hubs.la/Q047qxrY0
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@ApacheIceberg and Python don't have to be fragmented.
Tomorrow, March 20th, at @DataEngBytes Brisbane, @AMdatalakehouse will break down how PyIceberg, iceframe, and iceberg-cli fit together, so you know when to use what and how to build cleaner lakehouse workflows.
9:50am AEST: hubs.la/Q047snBZ0
Or go deeper with his book, Architecting an Apache Iceberg Lakehouse (get 45% off with code 3merced26): hubs.la/Q047ssBn0
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@JonathanGennick 🥳 another great one for the books! (Pun not initially intended, but wholeheartedly embraced.)
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Spring and Boot always have struck me as unusual names for a framework. Someday I'll have to ask someone about the history behind those choices. There's no doubt though that Spring Boot is the play in the Enterprise Java space, and I'm pleased to present Testing Spring Boot Applications by Daniel Garnier-Moiroux as one of our newest additions to the Manning Early Access Program.
@kehrlann @springboot #Spring #Boot #Testing #Java @java @ManningBooks
manning.com/books/testing-…
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@praveenstein Yes, this is true. But we'll let you know as soon as it's not! Also, the authors have written the rest of the chapters. We just gotta edit them before dropping 'em.
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Agent frameworks make it easy to build fast.
But when something breaks, debugging can feel like trying to fix a system you didn't build.
Build an AI Agent (From Scratch) shows how agent systems actually work. You'll implement a ReAct loop, work with MCP and A2A protocols, and build a custom assistant step by step. By the end, you'll have a full end-to-end agent.
Chapter 1 summary: hubs.la/Q046Z0QZ0
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원 저자가 '번역(?)'한 책을 읽을 수 있을 듯... ^^
Manning Publications@ManningBooks
Agent frameworks make it easy to build fast. But when something breaks, debugging can feel like trying to fix a system you didn't build. Build an AI Agent (From Scratch) shows how agent systems actually work. You'll implement a ReAct loop, work with MCP and A2A protocols, and build a custom assistant step by step. By the end, you'll have a full end-to-end agent. Chapter 1 summary: hubs.la/Q046Z0QZ0
한국어
Python is everywhere. But when performance matters, things get interesting.
Tomorrow at 6pm CT, the PySTL Meetup explores how pairing Python with Rust can unlock serious speed gains while keeping Python's flexibility.
Register for the March 19th event: hubs.la/Q047b98n0
Can't make it? Fast Python by @tiagoantao covers practical techniques for writing faster, more efficient Python: hubs.la/Q047bzS00
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AI is shifting from answering questions to acting on our behalf.
That makes safety, security, and oversight far more important.
At #SXSW today, @NumaDhamani and Maggie Engler, authors of Intro to Gen AI, 2nd Ed, are discussing what responsible AI autonomy looks like in their talk "Safety and Security in the Age of AI Autonomy."
Watch virtually or attend at 1pm CT: hubs.la/Q047ddXN0
Explore their book — 45% off with code dhensxsw26 through March 31st: hubs.la/Q047djWy0
English
📣 Deal of the Day 📣 Mar 18
HALF OFF NEW MEAP!
Retrieval Augmented Generation, The Seminal Papers & selected titles: hubs.la/Q047l6-50
Explore the foundational research papers that explain why RAG works, how it’s built, and what makes it different from other approaches. @benji1a #RAG #InformationRetrieval #DenseRetrieval #HybridSearch #LLMs
This book illuminates techniques that empower systems to retrieve intelligently, evaluate themselves, and recover from errors. Over 40 code samples, architectural diagrams, and industry case studies make each concept easy to understand. As you master the patterns behind RAG, you’ll better understand tradeoffs, diagnose failures, and effectively evaluate and improve your own RAG implementations.
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AI agents are easy to demo. Shipping them? Not so much.
AI Agents and Applications by Roberto Infante uses hands-on builds to show how to go "from foundational prompt execution to building advanced, production-ready AI agents."
Now in print: hubs.la/Q0478np60
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@MuhuiC Currently, the plan is drop a MEAP that zeroes in on the architecture next week. No promises, though. Occasionally, MEAPs have to be pushed out due to various logistical issues. That said, we'll have something out soon.
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@ManningBooks Now you have my attention 👀 Been building real systems in this space - would love to see what's coming!
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Living this every day — building multi-agent systems means 90% of my time is spent on orchestration, retry logic, and state management. The model just executes; the system has to be resilient. This is why agent frameworks are exploding right now.
Manning Publications@ManningBooks
The hard part of AI isn't always the model anymore. It's the system around it. Agent workflows, tool use, verification loops, orchestration — all the pieces needed to make multi-step AI tasks actually work in production. @rasbt digs into this shift on @twimlait: hubs.la/Q046F0wR0 Explore his books and more in the Future of AI bundle: hubs.la/Q046F1G60
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Happy St Patrick's Day! Save half on all eBooks and print + $10 LPs / LVs + $199.99 Manning Online Pro Annual + 20% off Teams!
@ManningBooks
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@ronniehuss @JenniferFu88011 Sure thing :) it's our pleasure!
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@ManningBooks @JenniferFu88011 Spot on. Governance is critical for responsible AI deployment. Proactive monitoring & feedback loops are key to adapting policies as LLMs evolve. Thanks for sharing Jennifer's article & the book rec!
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Shipping AI products quickly teaches one thing:
It’s not enough for your LLM to know things.
You also need governance.
@JenniferFu88011 wrote about how LLM wrappers act as the layer between applications and models.
Her article: hubs.la/Q046LPqR0
She also points to AI Governance by @enginbozdag and Stefano Bennati for a deeper look at the problem.
The book explores how to manage generative AI in production — covering security, bias, privacy, cost control, and regulatory considerations.
More on the book: hubs.la/Q046LN1V0
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Build an AI Agent (From Scratch) on Manning: hubs.la/Q046Zf2T0
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