AI for Understanding Context
暫譯: 理解上下文的人工智慧

Neuman, Yair

  • 出版商: Springer
  • 出版日期: 2024-12-05
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 117
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031642090
  • ISBN-13: 9783031642098
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

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商品描述

Context is necessary for understanding human behavior. However, so far, the concept of context has mostly been treated in a way that lacks any clear relevance for using, developing and engineering intelligent systems. In this book, the author explains the importance of context for understanding human behavior, presents a theory of context, and shows how AI, specifically Large Language Models such as GPT, can support our understanding of context when analyzing human behavior as expressed in texts ranging from conversations to short stories.

Drawing on years of R&D and academic publications in top rated journals, the author provides the reader with a simple and deep understanding of context and its modeling for specific challenges, from identifying social norm violations to understanding conversations going awry and stories by great authors. The book may interest a wide variety of readers seeking to incorporate AI into their understanding of human behavior.

商品描述(中文翻譯)

背景對於理解人類行為是必要的。然而,到目前為止,背景的概念大多以缺乏明確相關性的方式被處理,這對於使用、開發和工程智能系統並沒有太大幫助。在本書中,作者解釋了背景對於理解人類行為的重要性,提出了一個背景理論,並展示了人工智慧,特別是像 GPT 這樣的大型語言模型,如何在分析人類行為時支持我們對背景的理解,這些行為表現在從對話到短篇故事的文本中。

作者基於多年來的研究與開發以及在頂尖期刊上的學術出版物,為讀者提供了一個簡單而深刻的背景理解及其建模,針對特定挑戰,從識別社會規範違反到理解對話失誤和偉大作家的故事。本書可能會吸引各種尋求將人工智慧融入人類行為理解的讀者。

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