國立虎尾科技大學 |

Building intelligent applications with generative AI = explore the potential of AI for next gen applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Building intelligent applications with generative AI / Yattish Ramhorry.
其他題名:	explore the potential of AI for next gen applications /
作者:	Ramhorry, Yattish.
面頁冊數:	1 online resource (271 pages)
標題:	COMPUTERS / Artificial Intelligence / Expert Systems. -
電子資源:	https://portal.igpublish.com/iglibrary/search/BPB0000649.html
ISBN:	9789355518965

Building intelligent applications with generative AI = explore the potential of AI for next gen applications /
Ramhorry, Yattish.

Building intelligent applications with generative AI explore the potential of AI for next gen applications /[electronic resource] ：Yattish Ramhorry. - 1 online resource (271 pages)

Includes bibliographical references and index.

Building intelligent applications with generative AI : explore the potential of AI for next gen applications -- Dedication -- About the Author -- About the Reviewers -- Acknowledgement -- Preface -- Table of Contents -- Chapter 1: Exploring the World of Generative AI -- Chapter 2: Use Cases for Generative AI Applications -- Chapter 3: Mastering the Art of Prompt Engineering -- Chapter 4: Integrating Generative AI Models into Applications -- Chapter 5: Emerging Trends and the Future of Generative AI -- Chapter 6: Building Intelligent Applications with the ChatGPT API -- Chapter 7: Retrieval Augmented Generation with Gemini Pro -- Chapter 8: Generative AI Applications with Gradio -- Chapter 9: Visualize your Data with LangChain and Streamlit -- Chapter 10: Building LLM Applications with Llama 2 -- Chapter 11: Building an AI Document Chatbot with Flowise AI -- Chapter 12: Best Practices for Building Applications with Generative AI -- Chapter 13: Ethical Considerations of Generative AI -- Index.

Access restricted to authorized users and institutions.

Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways.

Mode of access: World Wide Web.

ISBN: 9789355518965Subjects--Topical Terms:

1413378
COMPUTERS / Artificial Intelligence / Expert Systems.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA9.58

Dewey Class. No.: 004.6

Building intelligent applications with generative AI = explore the potential of AI for next gen applications /
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520 3 $a Building Intelligent Applications with Generative AI is a comprehensive guide that unlocks the power of generative AI for building cutting-edge applications. This book covers a wide range of use cases and practical examples, from text generation and conversational agents to creative media generation and code completion. These examples are designed to help you capitalize on the potential of generative AI in your applications. Through clear explanations, step-by-step tutorials, and real-world case studies, you will learn how to prepare data and train generative AI models. You will also explore different generative AI techniques, including large language models like GPT-4, ChatGPT, Llama 2, and Google’s Gemini, to understand how they can be applied in various domains, such as content generation, virtual assistants, and code generation. With a focus on practical implementation, this book also examines ethical considerations, best practices, and future trends in generative AI. Further, this book concludes by exploring ethical considerations and best practices for building responsible GAI applications, ensuring you are harnessing this technology for good. By the end of this book, you will be well-equipped to leverage the power of GAI to build intelligent applications and unleash your creativity in innovative ways.
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