Generative AI: Current Trends and Applications / edited by Khalid Raza, Naeem Ahmad, Deepak Singh.

Format:

Book

Author/Creator:

Raza, Khalid.

Contributor:

Ahmad, Naeem.

Singh, Deepak.

Series:

Studies in Computational Intelligence, 1860-9503 ; 1177

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Natural language processing (Computer science).

Computational Intelligence.

Artificial Intelligence.

Natural Language Processing (NLP).

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Natural Language Processing (NLP).

Physical Description:

1 online resource (0 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

This book focuses on the latest advancements in generative AI, including state-of-the-art techniques and models that are pushing the boundaries of what is possible. It covers recent developments in areas such as generative AI models, transfer learning, and natural language processing (NLP) highlighting their potential to revolutionize content generation and creative applications including OpenAI, LangChain, NLTK, and their practical implementations across diverse domains. The volume provides insights into emerging research areas, novel architectures, and innovative approaches in generative AI, giving searchers a glimpse into the exciting future of the field. The aim is to offer readers a deep understanding of generative AI and how it can be harnessed to tackle complex real-world challenges.

Contents:

Generative AI Fundamentals and Evolution

Fundamentals of Encoders and Decoders in Generative AI

Generative AI Applications Development using OpenAI

Generative AI for Smart Data Analytics

Detection of Real vs Fake Images on Social Media through Generative Adversarial Networks.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9784-60-3

OCLC:

1478695807