Reproduce “Foundations of Large Language Models” on OpenResearch
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About this paper
Tong Xiao, Jingbo Zhu
Foundations of Large Language Models presents an introductory account of how broadly pretrained language models are adapted and used. The book explains prompting, alignment, inference, and reasoning across six chapters, including how computation shapes response generation. It is a foundational selection, not a comprehensive survey or experimental study; its examples show that correct answers do not guarantee sound reasoning.
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