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020 _a9798868802829
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024 7 _a10.1007/979-8-8688-0282-9
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100 1 _aCronin, Irena.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_977260
245 1 0 _aUnderstanding Generative AI Business Applications
_h[electronic resource] :
_bA Guide to Technical Principles and Real-World Applications /
_cby Irena Cronin.
250 _a1st ed. 2024.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2024.
300 _aXXVI, 248 p. 3 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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505 0 _aChapter 1: Introduction to the World of Generative AI -- Chapter 2: Core Technical Concepts -- Chapter 3: The Business Case for Generative AI -- Chapter 4: The World of Text-based Generative AI -- Chapter 5: Unpacking Transformer-based NLP -- Chapter 6: Exploring Chatbot Technologies -- Chapter 7: Advanced Applications of Text-based AI -- Chapter 8: Senses-based Generative AI Demystified -- Chapter 9: In-depth Look at Supportive Visual Algorithms and Computer Vision -- Chapter 10: The Auditory and Multisensory Experience -- Chapter 11: Autonomous AI Agents: Decision Making, Data, and Algorithms -- Chapter 12: Text-based Generative Intelligent Agents: Beyond Traditional Chatbots and Virtual Assistants -- Chapter 13: Applications and Real-world Case Studies -- Chapter 14: Summarizing Key Insights -- Chapter 15: The Evolving World of Generative AI.
520 _aThis guide covers the fundamental technical principles and various business applications of Generative AI for planning, developing, and evaluating AI-driven products. It equips you with the knowledge you need to harness the potential of Generative AI for enhancing business creativity and productivity. The book is organized into three sections: text-based, senses-based, and rationale-based. Each section provides an in-depth exploration of the specific methods and applications of Generative AI. In the text-based section, you will find detailed discussions on designing algorithms to automate and enhance written communication, including insights into the technical aspects of transformer-based Natural Language Processing (NLP) and chatbot architecture, such as GPT-4, Claude 2, Google Bard, and others. The senses-based section offers a glimpse into the algorithms and data structures that underpin visual, auditory, and multisensory experiences, including NeRF, 3D Gaussian Splatting, StableDiffusion, AR and VR technologies, and more. The rationale-based section illuminates the decision-making capabilities of AI, with a focus on machine learning and data analytics techniques that empower applications such as simulation models, agents, and autonomous systems. In summary, this book serves as a guide for those seeking to navigate the dynamic landscape of Generative AI. Whether you’re a seasoned AI professional or a business leader looking to harness the power of creative automation, these pages offer a roadmap to leverage Generative AI for your organization’s success. What You Will Learn What are the technical elements that constitute the makeup of Generative AI products? What are the practical applications of Generative AI? How can algorithms be designed to automate and improve written communication? What are the latest Generative AI architectures and algorithms?
650 0 _aArtificial intelligence.
_958441
650 0 _aMachine learning.
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650 0 _aPython (Computer program language).
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650 1 4 _aArtificial Intelligence.
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650 2 4 _aMachine Learning.
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650 2 4 _aPython.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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856 4 0 _uhttps://doi.org/10.1007/979-8-8688-0282-9
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