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Overview: In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of Artificial Intelligence (AI) 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 (NLP) 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. In the landscape of Artificial Intelligence, the emergence of next-generation language models represents a significant milestone. These models, often leveraging Deep Learning architectures, have showcased remarkable capabilities in understanding, generating, and manipulating human language. Their applications span across various domains, from aiding in natural language understanding and generation tasks to facilitating human-computer interactions and automating repetitive processes. 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.
Genre: Non-Fiction > Tech & Devices
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