000 04225nam a22005295i 4500
001 979-8-8688-0403-8
003 DE-He213
005 20251030112633.0
007 cr nn 008mamaa
008 240716s2024 xxu| s |||| 0|eng d
020 _a9798868804038
_9979-8-8688-0403-8
024 7 _a10.1007/979-8-8688-0403-8
_2doi
050 4 _aQ325.5-.7
072 7 _aUYQM
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aUYQM
_2thema
100 1 _aSolanki, Shivam R.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980743
245 1 0 _aGenerative Artificial Intelligence
_h[electronic resource] :
_bExploring the Power and Potential of Generative AI /
_cby Shivam R Solanki, Drupad K Khublani.
250 _a1st ed. 2024.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2024.
300 _aXV, 458 p. 114 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter 1: Introduction to Generative AI -- Chapter 2: Text-to-Image Generation -- Chapter 3: From Script to Screen: Unveiling Text-to-Video Generation -- Chapter 4: Bridging Text and Audio in Generative AI -- Chapter 5: Introduction to Language Models (LLMs) -- Chapter 6: Generative LLMs -- Chapter 7: Advanced Techniques for LLMs -- Chapter 8: Building Demo Applications using LLMs -- Chapter 9: Enterprise-Grade Apps using LLMs.
520 _aThis book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models. The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today’s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation. By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI. What You Will Learn What is Generative Artificial Intelligence? What are text-to-image synthesis techniques and conditional image generation? What is prompt-to-audio synthesis using Text-to-Speech (TTS) techniques? What are text-to-video models and how do you tune them? What are large language models, and how do you tune them? .
650 0 _aMachine learning.
_955059
650 0 _aArtificial intelligence.
_958441
650 0 _aPython (Computer program language).
_964608
650 1 4 _aMachine Learning.
_955059
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aPython.
_947553
700 1 _aKhublani, Drupad K.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980744
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9798868804021
776 0 8 _iPrinted edition:
_z9798868804045
776 0 8 _iPrinted edition:
_z9798868811005
856 4 0 _uhttps://doi.org/10.1007/979-8-8688-0403-8
912 _aZDB-2-CWD
912 _aZDB-2-SXPC
999 _c61678
_d61678