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O'Reilly

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Inspiring the future for more than 45 years We share the knowledge and teach the skills people need to change their world. For more than 45 years, O’Reilly has imparted the world-shaping ideas of innovators through books, articles, conferences, and our online learning platform. When individuals, teams, and entire enterprises connect with the world's leading experts and content providers, anything is possible. Whether you're working to advance your career, be a better manager, or achieve the next breakthrough in technology or business, learning new skills is at the heart of it all. With a range of formats including live online training courses, interactive tutorials, books, videos, and case studies, we equip all members of the workforce with the insight they need to stay ahead in an ever-changing economy. We want to prepare people to solve challenging problems and inspire them with what’s possible for the future. Something we’ve been doing for over 40 years.

Website
http://oreilly.com/
Industry
E-Learning Providers
Company size
201-500 employees
Headquarters
Sebastopol, CA
Type
Privately Held
Founded
1978
Specialties
Publishing, Conferences, Research, Online Services, Online Media, e-learning, ebooks, online training, Data, Programming, Design, IoT, Web, WebOps, Security, Futurism, Learning, AI, futursim, technology, economy, and GenAI

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  • O'Reilly reposted this

    🚀 𝐌𝐲 𝐧𝐞𝐱𝐭 O'Reilly 𝐥𝐢𝐯𝐞 𝐜𝐨𝐮𝐫𝐬𝐞 𝐢𝐬 𝐧𝐞𝐱𝐭 𝐓𝐡𝐮𝐫𝐬𝐝𝐚𝐲: 𝐀𝐈-𝐀𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐂𝐨𝐝𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐂𝐥𝐚𝐮𝐝𝐞 𝐚𝐧𝐝 𝐂𝐮𝐫𝐬𝐨𝐫 🚀 𝑇𝑤𝑜 ℎ𝑜𝑢𝑟𝑠, ℎ𝑎𝑛𝑑𝑠-𝑜𝑛, 𝐽𝑎𝑣𝑎/𝐶# 𝑒𝑥𝑎𝑚𝑝𝑙𝑒𝑠 I'm running a new live event on O'Reilly next Thursday, June 4: AI-Assisted Coding with Claude and Cursor. It's a two-hour hands-on session that splits into two halves. The first hour is about getting more out of Claude through prompt engineering. The second is about working in Cursor's IDE with its multimodel approach and Composer mode for larger refactors. The course is built for working developers who already write code (the examples are in Java and C#) and want a practical way to fold AI tools into their daily workflow without losing the engineering instincts that make AI usable in the first place. You'll work through real exercises: generating classes with context, refactoring with Composer, generating and running tests, and comparing Claude and GPT-4 inside Cursor for different kinds of work. If you've been wanting to get serious about Claude and Cursor instead of just dabbling, this is the session. 𝑇ℎ𝑢𝑟𝑠𝑑𝑎𝑦, 𝐽𝑢𝑛𝑒 4 𝑜𝑛 𝑂'𝑅𝑒𝑖𝑙𝑙𝑦 𝐿𝑖𝑣𝑒 𝐸𝑣𝑒𝑛𝑡𝑠. 𝑅𝑒𝑔𝑖𝑠𝑡𝑟𝑎𝑡𝑖𝑜𝑛 𝑙𝑖𝑛𝑘 𝑖𝑛 𝑡ℎ𝑒 𝑓𝑖𝑟𝑠𝑡 𝑐𝑜𝑚𝑚𝑒𝑛𝑡.

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  • "A related consideration comes from Anthropic’s recent acquisition of Stainless—a startup that generates SDKs, command-line tools, and MCP servers from API specifications. This illustrates that open protocols like MCP, even when publicly governed, remain exposed at their complementary layers to private actors capturing rents. (Protocol openness does not eliminate this and instead probably enables it, by enabling market growth). We asked Claude to analyze this acquisition, going beyond the press releases..." Read new article by Ilan Strauss on our #Radar to learn more: https://lnkd.in/giaDZ2gi

  • "The real question for UK employers isn’t whether AI will replace managers outright, but what happens when everyday decisions about workload, performance and priorities are increasingly influenced by algorithms, and whether organizations have the governance and leadership maturity to use that influence responsibly." Read new byline by our Alexia Pedersen in London Daily News: https://lnkd.in/ecdzhG5a

  • O'Reilly reposted this

    After many months of writing, editing, and trying to turn hard-won RAG lessons into something useful, I’m excited to share that our book, "Hands-On RAG for Production", is now live on O’Reilly. https://lnkd.in/gcAcVGwE We wrote this book because RAG has moved very quickly from “interesting pattern” to a core architecture for building useful AI applications. Getting RAG to work in a Jupyter notebook is very different from making it work in production, which is where the hard questions show up: - How do you choose the right RAG architecture? - How do you ingest complex documents across formats into your pipeline? - How do you move beyond basic retrieval into agentic RAG, multimodal RAG, and GraphRAG? - How do you evaluate quality and detect RAG hallucinations? - How do you balance accuracy, latency, and cost? - How do you handle privacy, security, and enterprise requirements? That is the gap we address in the book: a practical, hands-on guide for engineers, architects, and AI teams who need to build RAG systems that actually work in real-world settings. Many thanks to my co-author Forrest Sheng Bao, the incredible O'Reilly team, and everyone who helped along the way: Sharon Zhou, PhD, Jim Dowling, Tallat M. Shafaat, Amr Awadallah, Eva Nahari, Bob van Luijt, Jerry Liu, Stephen Chin, Nicole Butterfield, Michele Cronin, Max Buckley, and many others. The book is available on Kindle and the print version will be available shortly. https://lnkd.in/gZqaQkcR

  • O'Reilly reposted this

    I just received the black-and-white cover for my upcoming O'Reilly book, AI Agent Governance: Operational Patterns for Security, Oversight, and Control. And yes, those are kookaburras from Australia, and I literally cannot wait to see the color version! This book is about something I believe every organization building with AI agents needs to take seriously! We are still in the early days, and the decisions we make today around how we govern systems that can "think", call tools, access data, and take action will have lasting effects for years to come. If we get governance wrong, society will NOT be able to recover. I’ll be sharing early release chapters as they drop. Follow me if you’re building, deploying, securing, or governing AI agents. #AIAgents #AIGovernance #ResponsibleAI #Observability #OReilly #AI

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  • O'Reilly reposted this

    After many months of writing, editing, and trying to turn hard-won RAG lessons into something useful, I’m excited to share that our book, "Hands-On RAG for Production", is now live on O’Reilly. https://lnkd.in/gcAcVGwE We wrote this book because RAG has moved very quickly from “interesting pattern” to a core architecture for building useful AI applications. Getting RAG to work in a Jupyter notebook is very different from making it work in production, which is where the hard questions show up: - How do you choose the right RAG architecture? - How do you ingest complex documents across formats into your pipeline? - How do you move beyond basic retrieval into agentic RAG, multimodal RAG, and GraphRAG? - How do you evaluate quality and detect RAG hallucinations? - How do you balance accuracy, latency, and cost? - How do you handle privacy, security, and enterprise requirements? That is the gap we address in the book: a practical, hands-on guide for engineers, architects, and AI teams who need to build RAG systems that actually work in real-world settings. Many thanks to my co-author Forrest Sheng Bao, the incredible O'Reilly team, and everyone who helped along the way: Sharon Zhou, PhD, Jim Dowling, Tallat M. Shafaat, Amr Awadallah, Eva Nahari, Bob van Luijt, Jerry Liu, Stephen Chin, Nicole Butterfield, Michele Cronin, Max Buckley, and many others. The book is available on Kindle and the print version will be available shortly. https://lnkd.in/gZqaQkcR

  • View organization page for O'Reilly

    118,232 followers

    "Recruitment is changing fast, and for tech candidates, that’s not automatically bad news. Yes, employers are using AI to manage volume and move quicker, but candidates also have new ways to stand out: by building AI capability, proving it credibly, and showing they can use these tools with judgement." Check out the new byline by our Alexia Pedersen in HR Press: https://lnkd.in/emHfwfiG

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  • On June 16, join us to explore how AI is changing the way architecture capabilities are understood and applied. From architecture as code to AI-powered design and collaboration, this session will examine the tools, techniques, and mindsets that help architects create adaptive, intelligent systems. Gain insights into how you can harness AI to enable smarter decision-making, accelerate iteration, and ensure your systems stay resilient, secure, and aligned with evolving business needs. Save your free spot today: https://bit.ly/4dKYa0J Neal Ford Bryan Oliver Brian Sletten Venkat Subramaniam Nate Schutta Rebecca Parsons

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