04225nam a22005295i 4500 979-8-8688-0403-8 DE-He213 20251030112633.0 cr nn 008mamaa 240716s2024 xxu| s |||| 0|eng d 9798868804038 979-8-8688-0403-8 10.1007/979-8-8688-0403-8 doi Q325.5-.7 UYQM bicssc MAT029000 bisacsh UYQM thema Solanki, Shivam R. author. aut http://id.loc.gov/vocabulary/relators/aut 80743 Generative Artificial Intelligence [electronic resource] : Exploring the Power and Potential of Generative AI / by Shivam R Solanki, Drupad K Khublani. 1st ed. 2024. Berkeley, CA : Apress : Imprint: Apress, 2024. XV, 458 p. 114 illus. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 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. This 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? . Machine learning. 55059 Artificial intelligence. 58441 Python (Computer program language). 64608 Machine Learning. 55059 Artificial Intelligence. 58441 Python. 47553 Khublani, Drupad K. author. aut http://id.loc.gov/vocabulary/relators/aut 80744 SpringerLink (Online service) Springer Nature eBook Printed edition: 9798868804021 Printed edition: 9798868804045 Printed edition: 9798868811005 https://doi.org/10.1007/979-8-8688-0403-8 ZDB-2-CWD ZDB-2-SXPC 61678 61678