
BOOKS - Next Generation AI Language Models in Research Promising Perspectives and Val...

Next Generation AI Language Models in Research Promising Perspectives and Valid Concerns
Author: Kashif Naseer Qureshi, Gwanggil Jeon
Year: 2025
Pages: 349
Format: PDF | EPUB
File size: 26.8 MB
Language: ENG

Year: 2025
Pages: 349
Format: PDF | EPUB
File size: 26.8 MB
Language: ENG

The book "Next Generation AI Language Models in Research: Promising Perspectives and Valid Concerns" explores the latest advancements in artificial intelligence language models and their potential applications in various fields. The author delves into the development of these models, their capabilities, and limitations, and the ethical considerations surrounding their use. The book provides a comprehensive overview of the current state of AI language models and their future prospects, highlighting both the promising perspectives and valid concerns that arise from their increasing presence in our lives. The book begins by discussing the evolution of AI language models, tracing their origins and the factors that have contributed to their rapid growth and improvement. The author explains how these models have become more sophisticated and accurate over time, allowing them to perform tasks that were previously thought to be the exclusive domain of humans, such as understanding natural language and generating coherent responses. The book also examines the various approaches to developing AI language models, including deep learning techniques and the use of large datasets to train these models. One of the key strengths of the book is its ability to explain complex technical concepts in an accessible and easy-to-understand manner. The author uses relatable analogies and examples to help readers grasp the nuances of AI language models and their applications. For instance, the book compares the process of training an AI language model to teaching a child to speak and understand language, emphasizing the importance of exposure to diverse linguistic inputs and feedback in shaping the model's performance. This approach makes the book an excellent resource for those who are new to the field of AI research or looking to gain a better understanding of the technology.
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