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大語言模型的基礎

Foundations of Large Language Models

AI 導讀

這本書聚焦大語言模型的基礎概念,而非全面涵蓋所有前沿技術。全書分為六章,探討預訓練、生成模型、提示詞、對齊、推理(inference)及推理(reasoning)。內容面向大學生、自然語言處理及相關領域的專業人士和從業者,也可供對大語言模型感興趣的人士參考。

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Published on Oct 8

·

Submitted by

hang

on Oct 9

Authors:

Abstract

This is a book about large language models. As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies. The book is structured into six main chapters, each exploring a key area: pre-training, generative models, prompting, alignment, inference, and reasoning. It is intended for college students, professionals, and practitioners in natural language processing and related fields, and can serve as a reference for anyone interested in large language models.

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