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  • 1
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Live courses
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by deepset Reaching a million users in less than a week, ChatGPT has ignited discussions about the potential of artificial intelligence to disrupt industries from law to academia, art to medicine. OpenAI and Google, Meta, and others are releasing large language models that are fueling innovations in the development of search engines, recommendation systems, and tools we use to generate content from text, images, and music to code and software. While the possibilities for new products and services built on these state-of-the-art AI systems are endless, business leaders and machine learning practitioners alike are searching for answers on how to get the most of these technologies for their work. Important questions are also emerging around the limitations and potential obstacles to integrating new large AI models such as ChatGPT into existing systems. Join our expert speakers to discuss these issues and learn how you can leverage ChatGPT and other large AI models to build new products, increase productivity, and more. What you'll learn and how you can apply it You're a current or future machine learning product owner or machine learning practitioner, or you're simply interested in the state of the art of artificial intelligence. You want to learn more about ChatGPT and other large AI models and how they will impact other technologies as well as nontechnological fields. This recording of a live event is for you because... Discover possibilities for ChatGPT and large language models Uncover pitfalls and avoid missteps as you integrate this new frontier in AI into organizations of all types Learn actionable suggestions on dealing with large datasets and data augmentation, various model architectures, domain adaptation, and inference challenges Recommended follow-up: Read Natural Language Processing with Transformers, revised edition (book) Follow ChatGPT (expert playlist) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 11, 2023)
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  • 2
    Language: Japanese
    Pages: 1 online resource (1 video file (3 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Live courses
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Note: Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    ISBN: 9781801814676 , 1801814678
    Language: English
    Pages: 1 online resource (541 p.)
    DDC: 005.1
    Keywords: Git (Computer file) ; Computer software Development ; Electronic books
    Abstract: Take your DevOps and DevSecOps game to the next level by leveraging the power of the GitHub toolset in practice Key Features Release software faster and with confidence Increase your productivity by spending more time on software delivery and less on fixing bugs and administrative tasks Deliver high-quality software that is more stable, scalable, and secure Book Description This practical guide to DevOps uses GitHub as the DevOps platform and shows how you can leverage the power of GitHub for collaboration, lean management, and secure and fast software delivery. The chapters provide simple solutions to common problems, thereby helping teams that are already on their DevOps journey to further advance into DevOps and speed up their software delivery performance. From finding the right metrics to measure your success to learning from other teams' success stories without merely copying what they've done, this book has it all in one place. As you advance, you'll find out how you can leverage the power of GitHub to accelerate your value delivery - by making work visible with GitHub Projects, measuring the right metrics with GitHub Insights, using solid and proven engineering practices with GitHub Actions and Advanced Security, and moving to event-based and loosely coupled software architecture. By the end of this GitHub book, you'll have understood what factors influence software delivery performance and how you can measure your capabilities, thus realizing where you stand in your journey and how you can move forward. What you will learn Effectively measure software delivery performance Adopt DevOps and lean management techniques in your teams Plan, track, and visualize your work using GitHub Issues and Projects Use continuous delivery with GitHub Actions and Packages Scale quality through testing in production and chaos engineering "Shift left" security and secure your entire software supply chain Use DevSecOps practices with GitHub Advanced Security Secure your code with code scanning, secret scanning, and Dependabot Who this book is for This book is for developers, solutions architects, DevOps engineers, and SREs, as well as for engineering or product managers who want to enhance their software delivery performance. Whether you're new to DevOps, already have experience with GitHub Enterprise, or come from a platform such as Azure DevOps, Team Foundation Server, GitLab, Bitbucket, Puppet, Chef, or Jenkins but struggle to achieve maximum performance, you'll find this book beneficial.
    Note: Description based upon print version of record
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