| 书目名称 | Introduction to Python and Large Language Models | | 副标题 | A Guide to Language | | 编辑 | Dilyan Grigorov | | 视频video | | | 概述 | Provides practical applications of LLMs, with essential NLP concepts such as text preprocessing, and sentiment analysis.Covers Python programming concepts such as Python syntax, data types, functions, | | 图书封面 |  | | 描述 | .Gain a solid foundation for Natural Language Processing (NLP) and Large Language Models (LLMs), emphasizing their significance in today’s computational world. This book is an introductory guide to NLP and LLMs with Python programming...The book starts with the basics of NLP and LLMs. It covers essential NLP concepts, such as text preprocessing, feature engineering, and sentiment analysis using Python. The book offers insights into Python programming, covering syntax, data types, conditionals, loops, functions, and object-oriented programming. Next, it delves deeper into LLMs, unraveling their complex components...You’ll learn about LLM elements, including embedding layers, feedforward layers, recurrent layers, and attention mechanisms. You’ll also explore important topics like tokens, token distributions, zero-shot learning, LLM hallucinations, and insights into popular LLM architectures such as GPT-4, BERT, T5, PALM, and others. Additionally, it covers Python libraries like Hugging Face, OpenAI API, and Cohere. The final chapter bridges theory with practical application, offering step-by-step examples of coded applications for tasks like text generation, summarization, language t | | 出版日期 | Book 2024 | | 关键词 | Computer Science; Informatics; Conference Proceedings; Research; Applications | | 版次 | 1 | | doi | https://doi.org/10.1007/979-8-8688-0540-0 | | isbn_softcover | 979-8-8688-0539-4 | | isbn_ebook | 979-8-8688-0540-0 | | copyright | Dilyan Grigorov 2024 |
The information of publication is updating
|
|
发表于 2025-3-21 18:02:55
