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  1. Business writing with AI for dummies
    Published: [2024]; ©2024
    Publisher:  John Wiley & Sons, Inc., Hoboken, NJ

    This essential guide helps business writers and other professionals learn the strengths and weaknesses of AI as a writing assistant. You'll discover how AI can help you by chopping through writer's block, drafting an outline, generating headlines and... more

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    Technische Universität Chemnitz, Universitätsbibliothek
    No inter-library loan
    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
    No inter-library loan
    Hochschule Furtwangen University. Informatik, Technik, Wirtschaft, Medien. Campus Furtwangen, Bibliothek
    eBook Safari
    No inter-library loan
    Universitätsbibliothek Heidelberg
    No loan of volumes, only paper copies will be sent
    Medizinische Fakultät Mannheim der Universität Heidelberg, Bibliothek
    No loan of volumes, only paper copies will be sent
    Duale Hochschule Baden-Württemberg Mannheim, Bibliothek
    O'Reilly
    No inter-library loan
    Hochschule Offenburg, University of Applied Sciences, Bibliothek Campus Offenburg
    E-Ressource O'Reilly Online Learning
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    Hochschule für Technik Stuttgart, Bibliothek
    oReilly eBook
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    Universitätsbibliothek der Eberhard Karls Universität
    No inter-library loan
    Technische Hochschule Ulm, Bibliothek
    eBook O'Reilly
    No inter-library loan
    Universität Ulm, Kommunikations- und Informationszentrum, Bibliotheksservices
    No inter-library loan

     

    This essential guide helps business writers and other professionals learn the strengths and weaknesses of AI as a writing assistant. You'll discover how AI can help you by chopping through writer's block, drafting an outline, generating headlines and titles, producing meaningful text, maintaining consistency, proofreading and editing, and optimizing content for search engines. Employees in all industries spend enormous amounts of energy writing, editing, and proofreading documents of all kinds. Now, you can improve your efficiency and boost the quality of your work, thanks to AI writing tools like ChatGPT, Jaspar, Grammarly, and beyond. With clear instructions and simple tips, Business Writing with AI For Dummies guides you through the process of using AI for common business writing tasks.

     

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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 1394261756; 9781394261741; 1394261748; 9781394261758; 9781394261734
    Series: --for dummies
    Subjects: Business writing; Artificial intelligence; Style commercial ; Innovations; Intelligence artificielle; artificial intelligence
    Scope: 1 online resource (xiv, 368 pages).
    Notes:

    Karate Chopping Through Writer's Block without AI. - Description based on online resource; title from digital title page (viewed on June 26, 2024)

  2. Data governance for AI training data
    create de-bias, and improve datasets to train AI alogrithms and models
    Contributor: Patricio, Vasco (MitwirkendeR)
    Published: [2024]
    Publisher:  O'Reilly Media, Inc., [Sebastopol, California]

    In this course, we will cover the different aspects of building and vetting datasets in order to minimize any problems in AI training. We’ll talk about compiling datasets, “fixing” bad or incomplete data, profiling data to find biases, data labeling... more

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    Technische Universität Chemnitz, Universitätsbibliothek
    No inter-library loan
    Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
    No inter-library loan
    Hochschule Furtwangen University. Informatik, Technik, Wirtschaft, Medien. Campus Furtwangen, Bibliothek
    eBook Safari
    No inter-library loan
    Max-Planck-Institut für ethnologische Forschung, Bibliothek
    No inter-library loan
    Universitätsbibliothek Heidelberg
    No loan of volumes, only paper copies will be sent
    Medizinische Fakultät Mannheim der Universität Heidelberg, Bibliothek
    No loan of volumes, only paper copies will be sent
    Otto-von-Guericke-Universität, Universitätsbibliothek
    eBook OReilly
    No inter-library loan
    Duale Hochschule Baden-Württemberg Mannheim, Bibliothek
    O'Reilly
    No inter-library loan
    Hochschule Offenburg, University of Applied Sciences, Bibliothek Campus Offenburg
    E-Ressource O'Reilly Online Learning
    No inter-library loan
    Universitätsbibliothek Osnabrück
    No inter-library loan
    Hochschule für Technik Stuttgart, Bibliothek
    oReilly eBook
    No inter-library loan
    Universitätsbibliothek der Eberhard Karls Universität
    No inter-library loan
    Technische Hochschule Ulm, Bibliothek
    eBook O'Reilly
    No inter-library loan
    Universität Ulm, Kommunikations- und Informationszentrum, Bibliotheksservices
    No inter-library loan

     

    In this course, we will cover the different aspects of building and vetting datasets in order to minimize any problems in AI training. We’ll talk about compiling datasets, “fixing” bad or incomplete data, profiling data to find biases, data labeling and annotations, data quality considerations, data privacy and security in the process, and more. We will start by covering how to properly assemble and curate datasets. How to properly vet and catalog the data, how to preprocess them, and how to ensure that we achieve a certain level of data quality from the get-go. Then, we’ll talk about ensuring data quality. How to both put in place policies and rules to ensure that future data are of quality, but also how to remediate data when they are already below the expected quality thresholds. Then, our focus will be on de-biasing data. Even if data seem to objectively be “of quality,” they may still lack variety according to several dimensions, which can cause warped and harmful model outputs. We’ll cover how to tease out—and how to deal with—various types of biases. And, finally, we’ll cover data security and privacy. Because, even if your models don’t harm users, the actual data can. We’ll talk about how to limit access control, how to put in place various security controls of various types, and how to protect Personally Identifiable Information when handling training datasets. All of this so that, at the end of the day, data becomes an accelerator instead of a hurdle in your training efforts.

     

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    Source: Union catalogues
    Contributor: Patricio, Vasco (MitwirkendeR)
    Language: English
    Media type: Book
    Format: Online
    Edition: [First edition].
    Subjects: Data protection; Artificial intelligence; Machine learning; Data privacy; Big data; Data curation; Protection de l'information (Informatique); Intelligence artificielle; Apprentissage automatique; Confidentialité des données; Édition de contenu; artificial intelligence; Instructional films; Nonfiction films; Internet videos; Films de formation; Films autres que de fiction; Vidéos sur Internet
    Scope: 1 online resource (1 video file (2 hr., 50 min.)), sound, color.
    Notes:

    Online resource; title from title details screen (O’Reilly, viewed October 8, 2024)

  3. Techno
    Humans and Technology
    Published: 2024
    Publisher:  University of Queensland Press, St Lucia, Queensland

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    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Potsdamer Straße
    No inter-library loan
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9780702269363; 0702269360
    Subjects: Digital humanities; Technology; Artificial intelligence; Sciences humaines numériques; Technologie; Intelligence artificielle; digital humanities; artificial intelligence
    Scope: 1 Online-Ressource
  4. Fantasia
    Contes et légendes de l'intelligence artificielle
    Published: mars 2024; © 2024
    Publisher:  Bernard Grasset, Paris

    "Elle sécurise nos comptes en banque et analyse chacun de nos mouvements, elle promeut l'éducation et favorise la triche, elle donne accès au savoir et propage la désinformation. Elle peut le meilleur comme le pire, mais qui est vraiment... more

    Staats- und Universitätsbibliothek Bremen
    03.r.0836
    Unlimited inter-library loan, copies and loan

     

    "Elle sécurise nos comptes en banque et analyse chacun de nos mouvements, elle promeut l'éducation et favorise la triche, elle donne accès au savoir et propage la désinformation. Elle peut le meilleur comme le pire, mais qui est vraiment l'intelligence artificielle? À travers une série d'anecdotes, d'épisodes méconnus, de contes et de micro-récits, Laura Sibony raconte l'I.A. - ses concepts, ses enjeux, ses promesses. Une partie d'échecs avec Napoléon, une machine à distinguer les fromages, la recette du grand amour et Poutine en décolleté : le machine learning, les deepfakes ou le tagging se pensent en images. Fantasia est une symphonie de textes aussi drôles que pédagogiques, un voyage aux confins d'une technologie qui nourrit nos angoisses autant que nos fantasmes."--Page 4 of cover

     

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    Source: Union catalogues
    Language: French
    Media type: Book
    Format: Print
    ISBN: 9782246833482
    Other identifier:
    9782246833482
    Subjects: Artificial intelligence; Artificial intelligence; Artificial intelligence; Intelligence artificielle
    Scope: 301 Seiten, 21 cm
    Notes:

    Short stories and prose texts

  5. Generative AI on Aws
    Building Context-Aware Multimodal Reasoning Applications
    Published: 2023; ©2024
    Publisher:  O'Reilly Media, Sebastopol

    Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and... more

    Universität des Saarlandes, Wirtschaftswissenschaftliche Seminarbibliothek, Betriebswirtschaftliche Abteilung
    BF-5-831 / MIS / ISS
    No loan of volumes, only paper copies will be sent

     

    Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTSs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images

     

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  6. Techno
    Humans and Technology
    Published: 2024
    Publisher:  University of Queensland Press, St Lucia, Queensland

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    Staatsbibliothek zu Berlin - Preußischer Kulturbesitz, Haus Unter den Linden
    Unlimited inter-library loan, copies and loan
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    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9780702269363; 0702269360
    Subjects: Digital humanities; Technology; Artificial intelligence; Sciences humaines numériques; Technologie; Intelligence artificielle; digital humanities; artificial intelligence
    Scope: 1 Online-Ressource