AI for Understanding Context

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2024-12-04

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Description

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.
Pages
117 pages
Collection
SpringerBriefs in Computer Science
Parution
2024-12-04
Marque
Springer
EAN papier
9783031642098
EAN PDF
9783031642104

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
1669 Ko
Prix
47,46 €
EAN EPUB
9783031642104

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
604 Ko
Prix
47,46 €