The rapid advancement of technology in Artificial Intelligence (AI), specifically in Natural Language Processing (NLP) and generative AI, presents a challenge for academic scholars to remain informed with the most current information and with the latest techniques and applications. The lack of comprehensive resources also hinders researchers' ability to gain a deep understanding of these subjects and effectively implement these technologies. Advanced Applications of Generative AI and Natural Language Processing Models is a comprehensive resource which offers an effective solution by investigating cutting-edge developments in NLP and generative AI. It provides insights into how these technologies function, their benefits, and the associated challenges.

This book serves as a vital reference for deepening knowledge of advanced NLP techniques and staying updated on the latest advancements in generative AI for students, researchers, and professionals in AI, NLP, and computer science. It uses real-world examples and practical applications to empower scholars to apply their knowledge and solve complex problems.

Advanced Applications of Generative AI and Natural Language Processing Models is a complete guide that equips researchers with the knowledge needed to utilize NLP and generative AI, including deep learning for NLP, generative models for text generation, language modelling and sentiment analysis, machine translation and multilingual models, ethical considerations in NLP, conversational AI applications, and case studies and real-world applications.