Next Generation AI Language Models in Research

Next Generation AI Language Models in Research
Author :
Publisher : CRC Press
Total Pages : 349
Release :
ISBN-10 : 9781040157329
ISBN-13 : 1040157327
Rating : 4/5 (327 Downloads)

Book Synopsis Next Generation AI Language Models in Research by : Kashif Naseer Qureshi

Download or read book Next Generation AI Language Models in Research written by Kashif Naseer Qureshi and published by CRC Press. This book was released on 2024-11-13 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.


Next Generation AI Language Models in Research Related Books

Next Generation AI Language Models in Research
Language: en
Pages: 349
Authors: Kashif Naseer Qureshi
Categories: Computers
Type: BOOK - Published: 2024-11-13 - Publisher: CRC Press

GET EBOOK

In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence
Reshaping Learning with Next Generation Educational Technologies
Language: en
Pages: 263
Authors: Braman, James
Categories: Education
Type: BOOK - Published: 2024-05-06 - Publisher: IGI Global

GET EBOOK

The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educato
Generative AI and Large Language Models
Language: en
Pages: 109
Authors: Aditya Pratap Bhuyan
Categories: Computers
Type: BOOK - Published: 2024-07-24 - Publisher: Aditya Pratap Bhuyan

GET EBOOK

Artificial Intelligence is reshaping our world, and at the forefront of this revolution are Generative AI and Large Language Models (LLMs). This book, "Generati
Dynamics of Swarm Intelligence Health Analysis for the Next Generation
Language: en
Pages: 412
Authors: Suresh Kumar, Arumugam
Categories: Computers
Type: BOOK - Published: 2023-07-10 - Publisher: IGI Global

GET EBOOK

In today’s world, smart healthcare supports the out-of-hospital concept, which transforms and offers higher care standards. This is accomplished with individu
Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI
Language: en
Pages: 378
Authors: Yu, Poshan
Categories: Education
Type: BOOK - Published: 2023-12-29 - Publisher: IGI Global

GET EBOOK

Chatbots powered by artificial intelligence (AI) have captivated the academic world as tools for human-like interaction across various settings. Within the real