Advanced Applications of Generative Ai and Natural Language Processing Models

✍ Scribed by Ahmed J. Obaid, Bharat Bhushan, Muthmainnah S., S. Suman Rajest

• Publisher: IGI Global
• Year: 2023
• Tongue: English
• Leaves: 505
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Title Page
Copyright Page
Book Series
Table of Contents
Detailed Table of Contents
Preface
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
Chapter 4: Advanced Applications of Generative AI and Natural Language Processing Models
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
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
Chapter 10: Modern Applications With a Focus on Training ChatGPT and GPT Models
Chapter 11: Revolutionizing Conversational AI
Chapter 12: Promoting Students' Writing by Using Essay Writing GPT
Chapter 13: Social Commerce Recommendation Systems
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
Compilation of References
About the Contributors
Index