Natural Language Processing with Python

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Proceedings of the sixth Asia-Europe Symposium on Processing and Properties of Reinforced Polymers collects 185 papers 

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Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-b

This book offers an introduction to modern natural language processing using machine learning, focusing on how neural networks create a machine interpretable representation of the meaning of natural l

Natural Language Processing (NLP) is a scientific discipline which is found at the intersection of fields such as Artificial Intelligence, Linguistics, and Cognitive Psychology. This book presents in

A broad overview of natural language processing in affective computing is given by this title. Its goal is to familiarize the reader with current approaches in affective computing as well as the most

This book presents a unique opportunity for constructing a consistent image of collaborative manual annotation for Natural Language Processing (NLP). NLP has witnessed two major evolutions in the pas

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For graduate students and budding researchers in natural language processing, computer scientists review current research and practices in computational techniques to automate any kind of human-like p

This book examines key issues in designing semantics-oriented natural language processing systems. A broad conceptual framework for describing structured meanings of NL-texts is obtained by defining

Written for researchers and practitioners in the field of biomedicine, this collection of research articles stressed the need for broader applications of natural language processing (NLP) for a more f

Independent researcher Georgiev focuses on written language rather than spoken as he examines the discipline and results of natural language processing as it is most closely associated with computer-u

Christian Jacquemin shows how the power of natural language processing (NLP) can be used to advance text indexing and information retrieval (IR). In this book Christian Jacquemin shows how the power

One of the aims of Natural Language Processing is to facilitate .the use of computers by allowing their users to communicate in natural language. There are two important aspects to person-machine comm

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用Python和No-Code工具來開發專屬你的LLM應用 新手友善的LLM應用實戰指南，理解本質才能精準操作LLM這個黑盒子 從基礎AI開發開始，奠定AI應用飛躍之路 【內容簡介】 ♚學習AI開發：建立正確觀念，奠定紮實基本功 ♚理論實作並行：由淺入深學習，搭配程式碼實作 ♚套件全面剖析：理解套件背後的設計思路與取捨 ♚搭配No-Code工具：完整解析繁體中文Dify實戰 本書改編自第16屆iThome鐵人賽生成式AI組冠軍系列文章《Python新手的AI之旅：從零開始打造屬於你的AI / LLM應用》。本書將一步步帶著讀者學習建構一個AI應用的必備知識，從理論到實作都有涵蓋，不用擔心自己沒有AI的基礎。 本書專注於推論階段的LLM應用，前半部分介紹的是AI的基礎知識、LLM API的使用方法，以及圍繞在LLM周邊問題的解決方案；後半部分則詳細介紹Agent以及Dify這個No-Code LLM應用設計平台的使用方法和小訣竅；最後則是LLM應用的相關補充資料。 看完本書的你，就相當於擁有精準操作LLM這個「黑盒子」的基本能力，任何天馬行空的想法都能實現，而這也將會是你進入AI領域最開心的前奏。 【目標讀者】 ✪Python新手、想做點什麼的人。 ✪對AI有興趣、不知道怎麼開始的人。 ✪對開發LLM應用有興趣的人。 ✪不怕被說是套模仔的人。 本書改編自第16屆iThome鐵人賽生成式AI組冠軍系列文章《Python新手的AI之旅：從零開始打造屬於你的AI / LLM應用》。本書將一步步帶著讀者學習建構一個AI應用的必備知識，從理論到實作都有涵蓋，不用擔心自己沒有AI的基礎。本書專注於推論階段的LLM應用，前半部分介紹的是AI的基礎知識、LLM API的使用方法，以及圍繞在LLM周邊問題的解決方案；後半部分則詳細介紹Agent以及Dify這個No-Code LLM應用設計平台的使用方法和小訣竅；最後則是LLM應用的相關補充資料。

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