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Generative AI and NLP: Techniques, Applications and Tutorials

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Book Details
Language
English
Publishers
Independently published (30 May 2024)
Weight
0.11 KG
Publication Date
30/05/2024
Pages
73 pages
ISBN-13
9798327089891
Dimensions
15.24 x 0.43 x 22.86 cm
SKU
9798327089891
Author Name
Anand Vemula (Author)
Anand Vemula is a technology, business, ESG and Risk governance Evangelist. He has more than 27 plus years of experience. Has worked in MNC at a CXO level. Has been a part of various projects and forums across customers in BFSI, Healthcare, Retail, Manufacuring, Lifesciences, Energy Industry Verticals. Certified in all the technologies and Enterprise Digital ArchitectRead more about this authorRead less about this author
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"Generative AI and NLP: Techniques, Applications, Insights" delves into the fascinating realms of Generative Artificial Intelligence (AI) and Natural Language Processing (NLP), offering readers a comprehensive exploration of the cutting-edge techniques, diverse applications, and insightful perspectives within these fields. The book begins by unraveling the intricate methods behind Generative AI, elucidating the fundamental principles and advanced techniques employed in generating novel data across various modalities.

From Generative Adversarial Networks (GANs) to Transformer-based models, readers gain a deep understanding of how these models operate and their potential to revolutionize content generation. Moving forward, the book navigates through the practical applications of Generative AI and NLP, unveiling their transformative impact across industries.

Whether it's crafting conversational agents, automating content creation, or enhancing language translation, readers discover the myriad ways in which these technologies are reshaping human-computer interaction and information processing. Moreover, "Generative AI and NLP: Techniques, Applications, Insights" goes beyond technical exploration to provide valuable insights into the ethical considerations and societal implications inherent in these technologies.

By examining issues of bias, fairness, and privacy, readers are prompted to reflect on the ethical challenges posed by AI-generated content and the responsible deployment of such systems in real-world scenarios. Throughout the book, readers are presented with practical examples, case studies, and hands-on exercises that deepen their understanding and proficiency in applying Generative AI and NLP techniques.

From sentiment analysis to text summarization, readers are equipped with the knowledge and tools to tackle a diverse array of NLP tasks effectively. With its blend of technical rigor, practical relevance, and ethical reflection, "Generative AI and NLP: Techniques, Applications, Insights" serves as an invaluable resource for students, researchers, and practitioners seeking to navigate the dynamic landscape of AI-driven content generation and natural language understanding.

Whether exploring the latest advancements or contemplating the broader implications of AI technology, this book offers a comprehensive and insightful guide to the world of Generative AI and NLP. .

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