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Newly Released For The 2026/2027 Academic Year Chatgpt Principles And Architecture By Ge Cheng Elsevier China Machine Press Edition
Explore the foundational principles and technical architecture of ChatGPT in this comprehensive academic resource by Ge Cheng, published by Elsevier and China Machine Press. This guide provides an in-depth analysis of large language models, covering their development history, capability levels, and the transformative impact on artificial intelligence. Key topics include a detailed examination of the Transformer model, self-attention mechanisms, multi-head attention, and feedforward neural networks. Ideal for students and professionals seeking to understand the technical stack behind modern AI systems, this text addresses both the challenges of training large models and their current limitations.
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