Part I: Understanding Language Models In Part I of the book, we explore the inner workings of language models both small and large. We start with an overview of the field and common techniques (seeChapter 1) before moving over to two central components of these models, tokenization and embed...
内容简介· ··· Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build a Large Language Model (from Scratch), you’ll discover how LLMs work from the inside out. In this insightful book, bestselling author Sebastian Raschka...
书籍与其他语料库相比,提供了更正式的长文本,这对于 LLM 学习语言知识、建模长期依赖关系以及生成 叙述性和连贯的文本具有潜在的好处。为了获得开源书籍数 据,现有的研究通常采用 Books3 和 Bookcorpus2 数据集,这 些数据集可以在 Pile 数据集中获得。 专用文本数据:多语言文本,科学文本,现有的工作主要收集了 arXiv...
Book description AI has acquired startling new language capabilities in just the past few years. Driven by rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend is enabling new features, products, and entire industries. Thro...
Large Language Models: A Deep Dive 作者:Uday Kamath/Kevin Keenan/Garrett Somers 出版社:Springer 副标题:Bridging Theory and Practice 出版年:2024-8-21 页数:506 定价:USD 86.00 装帧:精装 ISBN:9783031656460 豆瓣评分 评价人数不足 评价: 写笔记
大型语言模型(Large Language Models,简称LLMs)是一类先进的人工智能模型,它们通过深度学习技术,特别是神经网络,来理解和生成自然语言。这些模型在自然语言处理(NLP)领域中扮演着越来越重要的角色。以下是大型语言模型的一些关键特点和应用: 1. 定义和工作原理 定义:大型语言模型是基于大量数据训练的复杂神经网络,能够捕...
Mastering Large Language Models 这本书的大纲和各章主要内容概述如下: **前言 (Preface)** - 欢迎来到大型语言模型的世界 - 书籍目的和读者指南 - 作者对读者的鼓励和期望 第1章《自然语言处理的基础》 (Fundamentals of Natural Language Processing) 为读者提供了自然语言处理(NLP)领域的全面介绍。以下是该章节...
and substitution. Eliza, running a certain script, could parody the interaction between a patient and therapist by applying weights to certain keywords and responding to the user accordingly. The creator of Eliza, Joshua Weizenbaum, wrote a book on the limits of computation and artificial ...
This time, with the help of LangChain, we built a pipeline that is responsible for retrieving data from the vector database and passing it to the Language Model. The notebook is set up to work with two different datasets and two different models. One of the models is trained for Text ...
1.1 What are large language models and why are they important? 1.2 How do large language models work? 1.3 What are the challenges and limitations of large language models? 1.4 What are the applications and benefits of large language models? 2. Neural Networks and Natural Language Processing 2.1...