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Advanced applications of generative ...

Bhushan, Bharat, (1989-)

Advanced applications of generative AI and natural language processing models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced applications of generative AI and natural language processing modelsAhmed J. Obaid, Bharat Bhushan, S. Suman Rajest, Muthmainnah S., editors.
remainder title:	Advanced applications of generative artificial intelligence and natural language processing models
other author:	Rajest, S. Suman,
Published:	Hershey, Pennsylvania :IGI Global,2024.
Description:	1 online resource (481 p.)
Subject:	Natural language processing (Computer science)
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0502-7
ISBN:	9798369305041$q(ebook)

Advanced applications of generative AI and natural language processing models
Advanced applications of generative AI and natural language processing models[electronic resource] /Advanced applications of generative artificial intelligence and natural language processing modelsAhmed J. Obaid, Bharat Bhushan, S. Suman Rajest, Muthmainnah S., editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (481 p.)

Includes bibliographical references and index.

Chapter 1. Introduction to chatgpt -- Chapter 2. Nudging motivation to learn English through a chatgpt smartphone-based hybrid model -- Chapter 3. Chatgpt in content creation: techniques, applications, and ethical implications -- Chapter 4. Advanced applications of generative AI and natural language processing models: advancing capabilities safely in an uncertain world -- Chapter 5. Overview of ChatGPT model architecture -- Chapter 6. Simplifying learning experience on a personalized content recommendation system for complex text material in e-learning -- Chapter 7. Textual alchemy: unleashing the power of generative models for advanced text generation -- Chapter 8. Light weight structure texture feature analysis for character recognition using progressive stochastic learning algorithm -- Chapter 9. Enhancing user privacy in natural language processing (NLP) systems: techniques and frameworks for privacy-preserving solutions -- Chapter 10. Modern applications with a focus on training chatgpt and GPT models: exploring generative AI and NLP -- Chapter 11. Revolutionizing conversational AI: unleashing the power of ChatGPT-based applications in generative AI and natural language processing -- Chapter 12. Promoting students' writing by using essay writing GPT: a mix method -- Chapter 13. Social commerce recommendation systems: leveraging user behaviour and preferences -- Chapter 14. Ddos attack detection in WSN using modified BGRU with MFO model -- Chapter 15. Deep learning approaches for affective computing in text -- Chapter 16. Phoenix precision algorithm for blind people with enhanced voice assistant -- Chapter 17. Fine-grained independent approach for workout classification using integrated metric transfer learning -- Chapter 18. Optimized generalised metric learning model for iterative, efficient, accurate, and improved coronary heart diseases -- Chapter 19. Fine-grained deep feature expansion framework for fashion apparel classification using transfer learning -- Chapter 20. Harnessing the power of chatgpt to explore student metacognitive skills in learning sociology education.

"The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies.Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving."--

ISBN: 9798369305041$q(ebook)Subjects--Topical Terms:

200539
Natural language processing (Computer science)
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA76.9.N38 / A335 2024e

Dewey Class. No.: 006.3/5

Advanced applications of generative AI and natural language processing models
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245 0 0 $a Advanced applications of generative AI and natural language processing models $h [electronic resource] / $c Ahmed J. Obaid, Bharat Bhushan, S. Suman Rajest, Muthmainnah S., editors.
246 3 $a Advanced applications of generative artificial intelligence and natural language processing models
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (481 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Introduction to chatgpt -- Chapter 2. Nudging motivation to learn English through a chatgpt smartphone-based hybrid model -- Chapter 3. Chatgpt in content creation: techniques, applications, and ethical implications -- Chapter 4. Advanced applications of generative AI and natural language processing models: advancing capabilities safely in an uncertain world -- Chapter 5. Overview of ChatGPT model architecture -- Chapter 6. Simplifying learning experience on a personalized content recommendation system for complex text material in e-learning -- Chapter 7. Textual alchemy: unleashing the power of generative models for advanced text generation -- Chapter 8. Light weight structure texture feature analysis for character recognition using progressive stochastic learning algorithm -- Chapter 9. Enhancing user privacy in natural language processing (NLP) systems: techniques and frameworks for privacy-preserving solutions -- Chapter 10. Modern applications with a focus on training chatgpt and GPT models: exploring generative AI and NLP -- Chapter 11. Revolutionizing conversational AI: unleashing the power of ChatGPT-based applications in generative AI and natural language processing -- Chapter 12. Promoting students' writing by using essay writing GPT: a mix method -- Chapter 13. Social commerce recommendation systems: leveraging user behaviour and preferences -- Chapter 14. Ddos attack detection in WSN using modified BGRU with MFO model -- Chapter 15. Deep learning approaches for affective computing in text -- Chapter 16. Phoenix precision algorithm for blind people with enhanced voice assistant -- Chapter 17. Fine-grained independent approach for workout classification using integrated metric transfer learning -- Chapter 18. Optimized generalised metric learning model for iterative, efficient, accurate, and improved coronary heart diseases -- Chapter 19. Fine-grained deep feature expansion framework for fashion apparel classification using transfer learning -- Chapter 20. Harnessing the power of chatgpt to explore student metacognitive skills in learning sociology education.
520 3 $a "The rapid advancements in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and Generative AI, pose a challenge for academic scholars. Staying current with the latest techniques and applications in these fields is difficult due to their dynamic nature, while the lack of comprehensive resources hinders scholars' ability to effectively utilize these technologies.Advanced Applications of Generative AI and Natural Language Processing Models offers an effective solution to address these challenges. This comprehensive book delves into cutting-edge developments in NLP and Generative AI. It provides insights into the functioning of these technologies, their benefits, and associated challenges. Targeting students, researchers, and professionals in AI, NLP, and computer science, this book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI. By providing real-world examples and practical applications, scholars can apply their learnings to solve complex problems across various domains. Embracing Advanced Applications of Generative AI and Natural Language Processing Modelsequips academic scholars with the necessary knowledge and insights to explore innovative applications and unleash the full potential of generative AI and NLP models for effective problem-solving."-- $c Provided by publisher.
650 0 $a Natural language processing (Computer science) $3 200539
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Rajest, S. Suman, $d 1988- $3 974261
700 1 $a Muthmainnah, Muthmainnah, $d 1980- $3 974298
700 1 $a Bhushan, Bharat, $d 1989- $3 974299
700 1 $a Obaid, Ahmed J. $3 891280
710 2 $a IGI Global. $3 529832
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0502-7