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ChatGPT漫谈

ChatGPT漫谈
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格式:EPUB/MOBI/AZW3
时间:2024-09-15
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内容简介

  《ChatGPT漫谈》内容简介

  本书深度探讨了构建和训练ChatGPT模型涉及的核心技术,以及ChatGPT在各种实际应用中的作用。全书精心划分为三部分,其中第1章为第1部分,第2章为第2部分,第3章和第4章为第3部分。首先,详细阐述了机器学习的历史演变与各种学习范式,同时也揭示了在人工智能生成内容(AIGC)领域下,图像处理和自然语言处理技术的历史发展趋势;接下来,对ChatGPT的运行机制和关键算法进行深度解析,包括大规模模型结构、上下文学习、强化学习、涌现机制等,引导读者深刻理解ChatGPT的本质和相应算法原理;最后,从应用角度出发,展示了ChatGPT在推动生产力变革方面的潜力,全面解析了ChatGPT在科研、教育、出版、医疗等行业的影响和未来前景。阅读本书后,读者可以获得对AIGC和ChatGPT的全面而深入的理解。本书旨在服务不同层次的读者。对于初学者,它可作为一部理解深度学习技术的入门教材;对于从事自然语言处理研究、应用实践的科研人员和工程技术人员,它提供了深度的理论洞见和实践参考;对于那些在文本工作领域从业的人士,本书同样有着重要的参考价值。




Introduction to the content of ChatGPT

This book explores in depth the core techniques involved in building and training ChatGPT models, as well as the role of ChatGPT in various practical applications. The book is carefully divided into three parts, of which Chapter 1 is Part 1, Chapter 2 is Part 2, and Chapters 3 and 4 are Part 3. Firstly, the paper expounds the historical evolution of machine learning and various learning paradigms, and also reveals the historical development trend of image processing and natural language processing technology in the field of artificial intelligent-generated content (AIGC). Next, the operation mechanism and key algorithms of ChatGPT are analyzed in depth, including large-scale model structure, context learning, reinforcement learning, emergence mechanism, etc., to guide readers to deeply understand the essence of ChatGPT and the corresponding algorithm principle. Finally, from the perspective of application, it demonstrates the potential of ChatGPT in promoting productivity change, and comprehensively analyzes the impact and future prospects of ChatGPT in scientific research, education, publishing, medical and other industries. After reading this book, readers will gain a comprehensive and in-depth understanding of AIGC and ChatGPT. This book is designed to serve readers of all levels. For beginners, it serves as an introduction to understanding deep learning techniques; It provides deep theoretical insight and practical reference for researchers and engineers engaged in the research and application of natural language processing. It is also an important reference for those who work in the field of text.

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