大型语言模型：概念、技术和应用（真正的EPUB）

English | 2024 | ISBN: 9781003517245 | 227 pages | True EPUB | 9.98 MB

This book serves as an introduction to the science and applications of Large Language Models (LLMs). You'll discover the common thread that drives some of the most revolutionary recent applications of artificial intelligence (AI): from conversational systems like ChatGPT or BARD, to machine translation, summary generation, question answering, and much more.

At the heart of these innovative applications is a powerful and rapidly evolving discipline, natural language processing (NLP). For more than 60 years, research in this science has been focused on enabling machines to efficiently understand and generate human language. The secrets behind these technological advances lie in LLMs, whose power lies in their ability to capture complex patterns and learn contextual representations of language. How do these LLMs work? What are the available models and how are they evaluated? This book will help you answer these and many other questions. With a technical but accessible introduction

•You will explore the fascinating world of LLMs, from its foundations to its most powerful applications

•You will learn how to build your own simple applications with some of the LLMs

Designed to guide you step by step, with six chapters combining theory and practice, along with exercises in Python on the Colab platform, you will master the secrets of LLMs and their application in NLP.

From deep neural networks and attention mechanisms, to the most relevant LLMs such as BERT, GPT-4, LLaMA, Palm-2 and Falcon, this book guides you through the most important achievements in NLP. Not only will you learn the benchmarks used to evaluate the capabilities of these models, but you will also gain the skill to create your own NLP applications. It will be of great value to professionals, researchers and students within AI, data science and beyond.

英文| 2024 |国际标准图书编号：9781003517245 | 227页|真正的EPUB | 9.98 MB 本书介绍了大型语言模型（LLMs）的科学和应用。您将发现推动人工智能（AI）最近一些最具革命性应用的共同点：从ChatGPT或BARD等会话系统，到机器翻译、摘要生成、问答等等。 这些创新应用的核心是一门强大且快速发展的学科，即自然语言处理（NLP）。60多年来，这门科学的研究一直专注于使机器能够有效地理解和生成人类语言。这些技术进步背后的秘密在于LLM，其力量在于它们捕捉复杂模式和学习语言上下文表示的能力。这些LLM是如何工作的？有哪些可用的模型，它们是如何评估的？这本书将帮助你回答这些问题和许多其他问题。带有技术性但易于理解的介绍 •您将探索LLM的迷人世界，从基础到最强大的应用程序 •您将学习如何使用一些LLM构建自己的简单应用程序 本课程旨在逐步指导您，共有六章，将理论与实践相结合，并在Colab平台上进行Python练习，您将掌握LLM的秘密及其在NLP中的应用。 从深度神经网络和注意力机制，到最相关的LLM，如BERT、GPT-4、LLaMA、Palm-2和Falcon，本书将指导您了解NLP中最重要的成就。您不仅将学习用于评估这些模型功能的基准，还将获得创建自己的NLP应用程序的技能。它将对人工智能、数据科学及其他领域的专业人士、研究人员和学生具有极大的价值。

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