The O'Reilly approach to generative AI
20260811_rev01 · COMPARED WITH 20260729_rev01
Full text changes — 20260729_rev01 to 20260811_rev01
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| 7 | - Explore Skills | |
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| 9 | - Cloud Computing | |
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| 13 | - [Google Cloud](/search/skills/google-cloud/) | |
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| 25 | - [Microsoft SQL Server](/search/skills/microsoft-sql-server/) | |
| 26 | - [MySQL](/search/skills/mysql/) | |
| 27 | - [Kafka](/search/skills/kafka/) | |
| 28 | - [Data Lake](/search/skills/data-lake/) | |
| 29 | - [Streaming & Messaging](/search/skills/streaming-messaging/) | |
| 30 | - [NoSQL Databases](/search/skills/nosql-databases/) | |
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| 35 | - Data Science | |
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| 44 | - [Statistics](/search/topics/statistics/) | |
| 45 | - [Exploratory Data Analysis](/search/topics/exploratory-data-analysis/) | |
| 46 | - [Data Visualization](/search/topics/data-visualization/) | |
| 47 | ||
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| 49 | ||
| 50 | - AI & ML | |
| 51 | ||
| 52 | - [Generative AI](/search/skills/generative-ai/) | |
| 53 | - [Machine Learning](/search/skills/machine-learning/) | |
| 54 | - [Artificial Intelligence (AI)](/search/skills/artificial-intelligence-ai/) | |
| 55 | - [Deep Learning](/search/skills/deep-learning/) | |
| 56 | - [Reinforcement Learning](/search/skills/reinforcement-learning/) | |
| 57 | - [Natural Language Processing](/search/skills/natural-language-processing/) | |
| 58 | - [TensorFlow](/search/skills/tensorflow/) | |
| 59 | - [Scikit-Learn](/search/skills/scikit-learn/) | |
| 60 | - [Hyperparameter Tuning](/search/skills/hyperparameter-tuning/) | |
| 61 | - [MLOps](/search/skills/mlops/) | |
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| 63 | [View all](/search/skills/ai-ml/) | |
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| 69 | - [Spring](/search/skills/spring/) | |
| 70 | - [Python](/search/skills/python/) | |
| 71 | - [Go](/search/skills/go/) | |
| 72 | - [C#](/search/skills/c-sharp/) | |
| 73 | - [C++](/search/skills/c-plus-plus/) | |
| 74 | - [C](/search/skills/c/) | |
| 75 | - [Swift](/search/skills/swift/) | |
| 76 | - [Rust](/search/skills/rust/) | |
| 77 | - [Functional Programming](/search/skills/functional-programming/) | |
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| 79 | [View all](/search/skills/programming-languages/) | |
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| 81 | - Software Architecture | |
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| 83 | - [Object-Oriented](/search/skills/object-oriented-architecture/) | |
| 84 | - [Distributed Systems](/search/skills/distributed-systems/) | |
| 85 | - [Domain-Driven Design](/search/skills/domain-driven-design/) | |
| 86 | - [Architectural Patterns](/search/skills/architectural-patterns/) | |
| 87 | ||
| 88 | [View all](/search/skills/software-architecture/) | |
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| 90 | - IT/Ops | |
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| 110 | - [Zero Trust Model](/search/skills/zero-trust-model/) | |
| 111 | - [Disaster Recovery](/search/skills/disaster-recovery/) | |
| 112 | - [Penetration Testing / Ethical Hacking](/search/skills/penetration-testing-ethical-hacking/) | |
| 113 | - [Governance](/search/skills/governance/) | |
| 114 | - [Malware](/search/skills/malware/) | |
| 115 | - [Security Architecture](/search/skills/security-architecture/) | |
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| 121 | - Design | |
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| 126 | - [Film & Video](/search/skills/film-video/) | |
| 127 | - [User Experience (UX)](/search/skills/user-experience-ux/) | |
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| 192 | ||
| 193 | - * * | |
| 194 | ||
| 195 | - Explore Skills | |
| 196 | ||
| 197 | ### Explore Skills | |
| 198 | ||
| 199 | - Cloud Computing | |
| 200 | ||
| 201 | ### Cloud Computing | |
| 202 | ||
| 203 | - [Microsoft Azure](/search/skills/microsoft-azure/) | |
| 204 | - [Amazon Web Services (AWS)](/search/skills/amazon-web-services-aws/) | |
| 205 | - [Google Cloud](/search/skills/google-cloud/) | |
| 206 | - [Cloud Migration](/search/skills/cloud-migration/) | |
| 207 | - [Cloud Deployment](/search/skills/cloud-deployment/) | |
| 208 | - [Cloud Platforms](/search/skills/cloud-platforms/) | |
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| 210 | Back | |
| 211 | ||
| 212 | - Data Engineering | |
| 213 | ||
| 214 | ### Data Engineering | |
| 215 | ||
| 216 | - [Data Warehouse](/search/skills/data-warehouse/) | |
| 217 | - [SQL](/search/skills/sql/) | |
| 218 | - [Apache Spark](/search/skills/apache-spark/) | |
| 219 | - [Microsoft SQL Server](/search/skills/microsoft-sql-server/) | |
| 220 | - [MySQL](/search/skills/mysql/) | |
| 221 | - [Kafka](/search/skills/kafka/) | |
| 222 | - [Data Lake](/search/skills/data-lake/) | |
| 223 | - [Streaming & Messaging](/search/skills/streaming-messaging/) | |
| 224 | - [NoSQL Databases](/search/skills/nosql-databases/) | |
| 225 | - [Relational Databases](/search/skills/relational-databases/) | |
| 226 | ||
| 227 | Back | |
| 228 | ||
| 229 | - Data Science | |
| 230 | ||
| 231 | ### Data Science | |
| 232 | ||
| 233 | - [Pandas](/search/topics/pandas/) | |
| 234 | - [R](/search/topics/r/) | |
| 235 | - [MATLAB](/search/topics/matlab/) | |
| 236 | - [SAS](/search/topics/sas/) | |
| 237 | - [D3](/search/topics/d3/) | |
| 238 | - [Power BI](/search/topics/power-bi/) | |
| 239 | - [Tableau](/search/topics/tableau/) | |
| 240 | - [Statistics](/search/topics/statistics/) | |
| 241 | - [Exploratory Data Analysis](/search/topics/exploratory-data-analysis/) | |
| 242 | - [Data Visualization](/search/topics/data-visualization/) | |
| 243 | ||
| 244 | Back | |
| 245 | ||
| 246 | - AI & ML | |
| 247 | ||
| 248 | ### AI & ML | |
| 249 | ||
| 250 | - [Generative AI](/search/skills/generative-ai/) | |
| 251 | - [Machine Learning](/search/skills/machine-learning/) | |
| 252 | - [Artificial Intelligence (AI)](/search/skills/artificial-intelligence-ai/) | |
| 253 | - [Deep Learning](/search/skills/deep-learning/) | |
| 254 | - [Reinforcement Learning](/search/skills/reinforcement-learning/) | |
| 255 | - [Natural Language Processing](/search/skills/natural-language-processing/) | |
| 256 | - [TensorFlow](/search/skills/tensorflow/) | |
| 257 | - [Scikit-Learn](/search/skills/scikit-learn/) | |
| 258 | - [Hyperparameter Tuning](/search/skills/hyperparameter-tuning/) | |
| 259 | - [MLOps](/search/skills/mlops/) | |
| 260 | ||
| 261 | Back | |
| 262 | ||
| 263 | - Programming Languages | |
| 264 | ||
| 265 | ### Programming Languages | |
| 266 | ||
| 267 | - [Java](/search/skills/java/) | |
| 268 | - [JavaScript](/search/skills/javascript/) | |
| 269 | - [Spring](/search/skills/spring/) | |
| 270 | - [Python](/search/skills/python/) | |
| 271 | - [Go](/search/skills/go/) | |
| 272 | - [C#](/search/skills/c-sharp/) | |
| 273 | - [C++](/search/skills/c-plus-plus/) | |
| 274 | - [C](/search/skills/c/) | |
| 275 | - [Swift](/search/skills/swift/) | |
| 276 | - [Rust](/search/skills/rust/) | |
| 277 | - [Functional Programming](/search/skills/functional-programming/) | |
| 278 | ||
| 279 | Back | |
| 280 | ||
| 281 | - Software Architecture | |
| 282 | ||
| 283 | ### Software Architecture | |
| 284 | ||
| 285 | - [Object-Oriented](/search/skills/object-oriented-architecture/) | |
| 286 | - [Distributed Systems](/search/skills/distributed-systems/) | |
| 287 | - [Domain-Driven Design](/search/skills/domain-driven-design/) | |
| 288 | - [Architectural Patterns](/search/skills/architectural-patterns/) | |
| 289 | ||
| 290 | Back | |
| 291 | ||
| 292 | - IT/Ops | |
| 293 | ||
| 294 | ### IT/Ops | |
| 295 | ||
| 296 | - [Kubernetes](/search/topics/kubernetes/) | |
| 297 | - [Docker](/search/topics/docker/) | |
| 298 | - [GitHub](/search/topics/github/) | |
| 299 | - [Terraform](/search/topics/terraform/) | |
| 300 | - [Continuous Delivery](/search/topics/continuous-delivery/) | |
| 301 | - [Continuous Integration](/search/topics/continuous-integration/) | |
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| 303 | - [Computer Networking](/search/topics/computer-networking/) | |
| 304 | - [Operating Systems](/search/topics/operating-systems/) | |
| 305 | - [IT Certifications](/search/topics/it-certifications/) | |
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| 309 | - Security | |
| 310 | ||
| 311 | ### Security | |
| 312 | ||
| 313 | - [Network Security](/search/skills/network-security/) | |
| 314 | - [Application Security](/search/skills/application-security/) | |
| 315 | - [Incident Response](/search/skills/incident-response/) | |
| 316 | - [Zero Trust Model](/search/skills/zero-trust-model/) | |
| 317 | - [Disaster Recovery](/search/skills/disaster-recovery/) | |
| 318 | - [Penetration Testing / Ethical Hacking](/search/skills/penetration-testing-ethical-hacking/) | |
| 319 | - [Governance](/search/skills/governance/) | |
| 320 | - [Malware](/search/skills/malware/) | |
| 321 | - [Security Architecture](/search/skills/security-architecture/) | |
| 322 | - [Security Engineering](/search/skills/security-engineering/) | |
| 323 | - [Security Certifications](/search/skills/security-certifications/) | |
| 324 | ||
| 325 | Back | |
| 326 | ||
| 327 | - Design | |
| 328 | ||
| 329 | ### Design | |
| 330 | ||
| 331 | - [Web Design](/search/skills/web-design/) | |
| 332 | - [Graphic Design](/search/skills/graphic-design/) | |
| 333 | - [Interaction Design](/search/skills/interaction-design/) | |
| 334 | - [Film & Video](/search/skills/film-video/) | |
| 335 | - [User Experience (UX)](/search/skills/user-experience-ux/) | |
| 336 | - [Design Process](/search/skills/design-process/) | |
| 337 | - [Design Tools](/search/skills/design-tools/) | |
| 338 | ||
| 339 | Back | |
| 340 | ||
| 341 | - Business | |
| 342 | ||
| 343 | ### Business | |
| 344 | ||
| 345 | - [Agile](/search/skills/agile/) | |
| 346 | - [Project Management](/search/skills/project-management/) | |
| 347 | - [Product Management](/search/skills/product-management/) | |
| 348 | - [Marketing](/search/skills/marketing/) | |
| 349 | - [Human Resources](/search/skills/human-resources/) | |
| 350 | - [Finance](/search/skills/finance/) | |
| 351 | - [Team Management](/search/skills/team-management/) | |
| 352 | - [Business Strategy](/search/skills/business-strategy/) | |
| 353 | - [Digital Transformation](/search/skills/digital-transformation/) | |
| 354 | - [Organizational Leadership](/search/skills/organizational-leadership/) | |
| 355 | ||
| 356 | Back | |
| 357 | ||
| 358 | - Soft Skills | |
| 359 | ||
| 360 | ### Soft Skills | |
| 361 | ||
| 362 | - [Professional Communication](/search/skills/professional-communication/) | |
| 363 | - [Emotional Intelligence](/search/skills/emotional-intelligence/) | |
| 364 | - [Presentation Skills](/search/skills/presentation-skills/) | |
| 365 | - [Innovation](/search/skills/innovation/) | |
| 366 | - [Critical Thinking](/search/skills/critical-thinking/) | |
| 367 | - [Public Speaking](/search/skills/public-speaking/) | |
| 368 | - [Collaboration](/search/skills/collaboration/) | |
| 369 | - [Personal Productivity](/search/skills/personal-productivity/) | |
| 370 | - [Confidence / Motivation](/search/skills/confidence-motivation/) | |
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| 372 | Back | |
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| 454 | ||
| 455 | From O'Reilly president Laura Baldwin | |
| 456 | ||
| 457 | # The O'Reilly approach to generative AI | |
| 458 | ||
| 459 | Leveraging our expert content in a fair and ethical manner | |
| 460 | ||
| 461 | More than 50% of O'Reilly members currently use our platform to learn in the flow of work-quickly getting the answers they need to solve problems and move on. By putting the right tools at their disposal, we believe that percentage will grow. Exponentially. | |
| 462 | ||
| 463 | One of those tools is generative AI, and over the last year we've seen how its capabilities have taken the world by storm. But we've also seen how large language models (LLMs) trained on publicly available information or content leveraged without permission can be fraught with problems-including copyright infringement. Certainly, human intervention is required to ensure reliability and accuracy, and prevent falsities from making their way into products and services. | |
| 464 | ||
| 465 | But when used ethically, GenAI tools can augment jobs, solve large-scale problems, and create tangible economic opportunities. So, to ensure the content we distribute maintains the level of trust our readers and members have come to expect, O'Reilly has created a [GenAI policy for our experts](https://www.oreilly.com/terms/ai-policy-for-talent.html) to follow when leveraging GenAI in the creation of their own works. In short, we expect authors and content providers to track their use of GenAI and share this info with their editors as they develop their content, just as they might with third-party content for permissions. Doing so provides the necessary human intervention to ensure reliability and accuracy. | |
| 466 | ||
| 467 | We've also taken great strides to protect our experts' copyrights-and give them credit and remuneration for their work-as we move into the next generation of learning tools. | |
| 468 | ||
| 469 | ## Developing a GenAI tool our members can trust | |
| 470 | ||
| 471 | In our quest to develop a reliable GenAI that enables learning in the flow of work, we're training an LLM whose answers can be depended on because it's being trained solely on trusted content-including the widely respected O'Reilly animal books and titles from nearly 200 trusted publishing partners including Pearson, Harvard Business Review, and Packt. We're also training it with our expert-led live and on-demand courses, Superstream virtual tech conferences, audiobooks, and more. Anything we use to train our GenAI tool is content we stand by. | |
| 472 | ||
| 473 | That content could be used to create sets of assessment questions at the end of a chapter to prove that a member has absorbed what they need to learn. Or summarize a four-hour conference so they learn faster. Or translate our original works into multiple languages so our content can be offered globally. | |
| 474 | ||
| 475 | And it could deliver unique answers to tough tech questions instantly, pulling from a range of reputable sources to ensure accuracy and quality-so teams can learn in the flow of work even better. | |
| 476 | ||
| 477 | ## Doing right by our experts | |
| 478 | ||
| 479 | At O'Reilly, our experts typically own the copyright to the books and content we publish and distribute. In fact, we were one of the first publishers to license authors' works for publication-leaving ownership of their original ideas in their hands. We do retain the right to build derivative works from their content, but we believe our experts have the right to be aware of those plans. | |
| 480 | ||
| 481 | That doesn't change with the advent of GenAI on our learning platform; we will continue to respect our creators' copyrights. Which is why we're developing a GenAI tool that can track the sources of the answers it provides-and give credit and remuneration to authors and experts when it leverages their royalty bearing content. | |
| 482 | ||
| 483 | ## We believe in innovation. And doing the right thing. | |
| 484 | ||
| 485 | All GenAI companies need to adopt ethical standards and figure out a way to pay content creators for their works used to train LLMs. By stepping forward and showing it's possible, we hope to inspire more organizations to do right by both their users and their content creators. | |
| 486 | ||
| 487 | Best, | |
| 488 | ||
| 489 | Laura Baldwin | |
| 490 | President, O'Reilly |