Large language model

Item

Titre (article, livre complet, chapitre de livre, publication réseaux sociaux, pageWeb, SiteWeb complet, etc.)
Large language model
Auteur de la référence bibliograpique
Wikipédia
Date de publication (AAAA ou AAAA-MM-JJ)
s.d.
Titre du livre (pour chapitre de livre)
Wikipedia
Is Referenced By
99DHLCSI
Abstract
A large language model (LLM) is a type of computational model designed for natural language processing tasks such as language generation. As language models, LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.
The largest and most capable LLMs are artificial neural networks built with a decoder-only transformer-based architecture, enabling efficient processing and generation of large-scale text data. Modern models can be fine-tuned for specific tasks, or be guided by prompt engineering. These models acquire predictive power regarding syntax, semantics, and ontologies inherent in human language corpora, but they also inherit inaccuracies and biases present in the data on which they are trained.
Language
en
Source
Wikipedia
Rights
Creative Commons Attribution-ShareAlike License
Date Submitted
2024-11-05T14:24:46Z
is compiled by
ARCANES
gabarielleg

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Items with "Bibliographie de la conférence: Large language model"
Title Class
La narration générative entre IA symbolique et connexionniste : une expérience transnationale Conference

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