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Microsoft 365 Copilot at work : using AI to get the most from your business data and favorite apps / by Van Laan, Sandar,author.; Matfess, Jared,author.; Flock, Thomas,author.; Reid, Ann,author.;
Introduction to Artificial Intelligence -- Introduction to Microsoft 365 Copilot -- Chapter 3 An Introduction to Prompt Engineering -- Chapter 4 Security/Purview Planning in Preparation for Copilot -- Chapter 5 Planning Your Microsoft 365 Copilot Rollout -- Chapter 6 Microsoft Copilot Business Chat -- Chapter 7 Microsoft OUtlook -- Chapter 8 Copilot in Microsoft Teams -- Chapter 9 Copilot in Microsoft Excel -- Chapter 10 Copilot in Microsoft PowerPoint -- Chapter 11 Copilot in Microsoft Loop -- Chapter 12 Transforming Text with Copilot in Microsoft Word -- Part II Extending Copilot -- Chapter 13 Unlocking Real Value with Copilot -- Chapter 14 Introduction to Microsoft Copilot Studio -- Chapter 15 Creating a Custom Teams Copilot -- Chapter 16 Copilot Wave 2 Features.Learn to leverage Microsoft's new AI tool, Copilot, for enhanced productivity at work In Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps, a team of software and AI experts delivers a comprehensive guide to unlocking the full potential of Microsoft's groundbreaking AI tool, Copilot. Written for people new to AI, as well as experienced users, this book provides a hands-on roadmap for integrating Copilot into your daily workflow. You'll find the knowledge and strategies you need to maximize your team's productivity and drive success. The authors offer you a unique opportunity to gain a deep understanding of AI fundamentals, including machine learning, large language models, and generative AI versus summative AI. You'll also discover: How Copilot utilizes AI technologies to provide real-time intelligent assistance and revolutionize the way you work with Microsoft 365 apps Practical Implementation Strategies for project and change management, as well as practical guidance on rolling out Copilot within your organization Specific use cases, including Outlook, Teams, Excel, PowerPoint, and OneNote, and how Copilot can streamline tasks and boost efficiency across various Microsoft applications Take your Copilot proficiency to the next level with advanced AI concepts, usage monitoring, and custom development techniques. Delve into Microsoft Framework Accelerator, Copilot plugins, semantic kernels, and custom plugin development, empowering you to tailor Copilot to your organization's unique needs and workflows. Get ready to revolutionize your productivity with Microsoft 365 Copilot! --
Subjects: Microsoft Windows (Computer file); Natural language processing (Computer science); Artificial intelligence.; Business;
Available copies: 1 / Total copies: 1
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Microsoft Copilot / by Minnick, Chris,author.(CARDINAL)271046;
Microsoft is enhancing all its most widely used productivity software--including Windows and apps like Word and Excel--with the power of AI. And now you can learn to make the most of this revolutionary new tool with Microsoft Copilot For Dummies!
Subjects: Microsoft Windows (Computer file); Microsoft Office.; Natural language processing (Computer science); Artificial intelligence.; Chatbots.;
Available copies: 1 / Total copies: 4
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Final Jeopardy : man vs. machine and the quest to know everything / by Baker, Stephen,1955 November 15-(CARDINAL)491290;
Includes bibliographical references (pages 267-268).The germ of the Jeopardy machine -- And representing the humans-- -- Blue J is born -- Educating Blue J -- Watson's face -- Watson takes on humans -- AI -- A season of jitters -- Watson looks for work -- How to play the game -- The match.Researchers at IBM launched a billion-dollar project to develop a machine that could compete in the quiz show Jeopardy--and win. The machine faced off in a high-ratings match against two former champions, Ken Jennings and Brad Rutter. Journalist Stephen Baker carries readers on a captivating journey from the IBM labs to the showdown in Hollywood. The story features brilliant Ph.D.s, Hollywood moguls, knowledge-obsessed Jeopardy masters--and a very special collection of silicon and circuitry named Watson. It was a classic match of Man vs. Machine, not seen since the chess-playing computer Deep Blue bested the world's reigning grandmaster, Garry Kasparov. And Watson needed to do more than churn through chess moves or find a relevant Web page--it had to understand language, including puns and irony, and master everything from history and literature to science, arts, and entertainment.--Adapted from publisher description.
Subjects: Jeopardy! (Television program); Natural language processing (Computer science); Semantic computing.; Artificial intelligence.; Database management.; Watson (Computer);
Available copies: 1 / Total copies: 1
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Microsoft Copilot pro : step by step / by Crosbie, Lisa,author.;
1: Introduction to Copilot Pro -- 2: Writing effective prompts for Copilot -- 3: Copilot on the Web -- 4: Copilot mobile app -- 5: Copilot in Excel -- 6: Copilot in Outlook -- 7: Copilot in Word -- 8: Copilot in PowerPoint -- 9: Copilot in one note.Copilot Pro enables you to be more creative and productive, but using generative AI requires a whole new way of thinkingmost users try once or twice, get poor results and give up. This book teaches them what they don't know and helps them get started with the right skills. Copilot Pro adds generative AI experiences into the most used Microsoft applications, Outlook, Word, PowerPoint, Excel, and OneNote, enabling users to be more productive and creative by generating first drafts, editing and improving their work, easily understanding and finding pieces of information in large documents, and gaining new insights. It also allows users to generate text and images in a browser and via a mobile app, using the latest AI models. This is a completely new way of thinking and workinglike having your own personal "enthusiastic intern" working side by side with you every day to take on the mundane and time-consuming tasks, freeing you up for more interesting and creative work. Generative AI has been everywhere in the media, with a huge hype cycle, but most everyday workers don't understand how it can be applied to their day-to-day work in a practical and transformative way.
Subjects: Microsoft Windows (Computer file); Microsoft Office.; Natural language processing (Computer science); Artificial intelligence.; Business;
Available copies: 1 / Total copies: 1
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Prompt engineering for generative AI : future-proof inputs for reliable AI outputs at scale / by Phoenix, James(Computer engineer),author.; Taylor, Mike(Computer engineer),author.;
Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice. When first integrating LLMs and diffusion models into their workflows, most developers struggle to coax reliable enough results from them to use in automated systems. Authors James Phoenix and Mike Taylor show you how a set of principles called prompt engineering can enable you to work effectively with AI. --
Subjects: Natural language generation (Computer science); Artificial intelligence; Natural language processing (Computer science); Informatique.; Intelligence artificielle.; Traitement automatique du langage naturel.; Génération automatique de textes.;
Available copies: 0 / Total copies: 1
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Make Python talk : build apps with voice control and speech recognition / by Liu, Mark(Mark H.),author.;
"A project-based book that teaches beginning Python programmers how to build working, useful, and fun voice-controlled applications"--
Subjects: Instructional and educational works.; Python (Computer program language); Speech processing systems.; Automatic speech recognition.; Natural language processing (Computer science); Computer programming.; Mobile apps; Intelligent personal assistants (Computer software);
Available copies: 1 / Total copies: 1
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AI in entertainment / by Chambers, Ford,author.;
Includes bibliographical references (page 24) and index.What is AI? -- AI on the screen -- Watching the future -- Try this!In AI in Entertainment, early fluent readers will learn how a wide variety of entertainment industries, such as the movie industry, are using AI. Beautiful, crisp, full-color photographs complement the text and aid readers' comprehension. AI in Entertainment features an infographic, sidebars, reading tips for teachers and parents, a table of contents, an activity, a glossary, and an index. Children can learn more about AI using our safe search engine that provides relevant, age-appropriate websites. AI in Entertainment is part of Jump!'s AI World series-- Provided by publisher.Ages 7-10.Juvenile.
Subjects: Computer animation; Artificial intelligence; Natural language generation (Computer science); Video games; Composition (Music);
Available copies: 0 / Total copies: 2
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Magic words : what to say to get your way / by Berger, Jonah,author.(CARDINAL)401704;
Includes bibliographical references (pages 227-234) and index."A book about how to use words in a way that is most persuasive"--Introduction -- Active identity and agency -- Convey confidence -- Ask the right questions -- Leverage concreteness -- Employ emotion -- Harness similarity (and difference) -- What language reveals -- Epilogue -- Appendix: Reference guide for using and applying natural language processing.
Subjects: Self-help publications.; Persuasion (Psychology); Communication.;
Available copies: 2 / Total copies: 6
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Applied machine learning and AI for engineers : solve business problems that can't be solved algorithmically / by Prosise, Jeffauthor.(CARDINAL)879138; Prosise, Adam,writer of foreword.;
Includes bibliographical references and index.Part 1. Machine learning with Schikit-learn. Machine learning -- Regression models -- Classification models -- Text classification -- Support vector machines -- Principal component analysis -- Operationalizing machine learning models -- Part 2. Deep learning with Keras and TensorFlow. Deep learning -- Neural networks -- Image classification with convolutional neural networks -- Face detection and recognition -- Object detection -- Natural language processing -- Azure cognitive services.While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company.
Subjects: Artificial intelligence.; Machine learning.;
Available copies: 1 / Total copies: 1
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Who wrote this? : how AI and the lure of efficiency threaten human writing / by Baron, Naomi S.,author.(CARDINAL)511712;
Includes bibliographical references (pages 269-300) and index.Prologue : human writers meet the AI language sausage machine -- The journey to literacy -- Why humans write, and rewrite -- English comp and Its aftermath -- The dream of language machines -- The natural language processing sausage machine -- Machine translation rises again -- Machines emerge as authors -- AI comes for the writing professions -- The creative side of AI -- AI as Jeeves -- Human-AI symbiosis -- Do we always welcome AI? -- Coda : why human authorship matters."Would you read this book if a computer wrote it? Would you even know? And why would it matter? Today's eerily impressive artificial intelligence writing tools present us with a crucial challenge: As writers, do we unthinkingly adopt AI's time-saving advantages or do we stop to weigh what we gain and lose when heeding their siren call? To understand how AI is redefining what it means to write and think, linguist and educator Naomi Baron leads us on a journey connecting the dots between human literacy and today's technology. From nineteenth century lessons in composition, to mathematician Alan Turing's work creating a machine for deciphering war-time messages, to contemporary engines like ChatGPT, Baron gives readers a spirited overview of the emergence of both literacy and AI, and a glimpse of their possible future. As the technology becomes increasingly sophisticated and fluent, it's tempting to take the easy way out and let AI do the work for us. Baron cautions that such efficiency isn't always in our interest. As AI plies us with suggestions or full-blown text, we risk losing not just our technical skills but the power of writing as a springboard for personal reflection and unique expression. Funny, informed, and conversational, Who Wrote This? urges us as individuals and as communities to make conscious choices about the extent to which we collaborate with AI. The technology is here to stay. Baron shows us how to work with AI and how to spot where it risks diminishing the valuable cognitive and social benefits of being literate"--
Subjects: Authorship; Authorship; Writing; Artificial intelligence.; Technology;
Available copies: 1 / Total copies: 2
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