Applied Generative AI for Beginners is a comprehensive guide to mastering generative AI, covering neural networks, large language models, and their practical implementation in various domains. It is designed for beginners and provides hands-on demonstrations using tools like Sklearn and industry-specific use cases.

Format: Paperback / softback
Length: 212 pages
Publication date: 22 November 2023
Publisher: APress

Applied Generative AI for Beginners is a comprehensive guide to mastering generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It is structured around detailed chapters that will guide you from foundational knowledge to practical implementation, with an introduction to generative AI and its current landscape, an exploration of how the evolution of neural networks led to the development of large language models, and specific architectures like ChatGPT and Google Bard. The book also delves into strategic aspects of implementing generative AI in an enterprise setting, with LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains. Whether you are a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights.

Applied Generative AI for Beginners

Applied Generative AI for Beginners is a comprehensive guide to mastering generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It is structured around detailed chapters that will guide you from foundational knowledge to practical implementation, with an introduction to generative AI and its current landscape, an exploration of how the evolution of neural networks led to the development of large language models, and specific architectures like ChatGPT and Google Bard. The book also delves into strategic aspects of implementing generative AI in an enterprise setting, with LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains. Whether you are a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights.

What You Will Learn

Gain a solid understanding of generative AI, starting from the basics of neural networks and progressing to complex architectures like ChatGPT and Google Bard.
Imp.
Applied Generative AI for Beginners is a comprehensive guide to mastering generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It is structured around detailed chapters that will guide you from foundational knowledge to practical implementation, with an introduction to generative AI and its current landscape, an exploration of how the evolution of neural networks led to the development of large language models, and specific architectures like ChatGPT and Google Bard. The book also delves into strategic aspects of implementing generative AI in an enterprise setting, with LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains. Whether you are a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights.

Weight: 440g
Dimension: 177 x 253 x 17 (mm)
ISBN-13: 9781484299937
Edition number: 1st ed.