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Newly Released for the 2026/2027 Academic Year ChatGPT Principles and Architecture by Ge Cheng Comprehensive Guide to Large Language Models
Master the fundamentals of modern AI with 'ChatGPT: Principles and Architecture' by Ge Cheng, published by Elsevier. This essential academic resource provides a deep dive into the development history, technical evolution, and impact of large language models (LLMs). Key topics include an in-depth analysis of the Transformer model, self-attention mechanisms, multi-head attention, and feedforward neural networks. Ideal for students and professionals seeking to understand the core architecture behind ChatGPT, this guide covers training challenges, deployment limitations, and the broader technology stack driving artificial intelligence innovation.
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