What this concept includes
- Tokenization
- Embeddings
- Transformer architecture
- Pretraining et adaptation
- Inference et decoding
- Context windows
CONCEPT
Grand modèle de langage
A large language modèle est un parameterized machine-learning modèle trained à predict et generate sequences de tokens from statistical patterns learned across large text ou multimodal corpora.
Large language modèles combine tokenization, embeddings, transformer layers, attention, training objectives et probabilistic decoding à generate ou transform language.
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EDITORIAL SIGNALS
Definitions, evidence and graph context.
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Position maintained by Electronic Artefacts
- Large language modèles generate token sequences from learned probability distributions rather than retrieving a single memorized answer.
- Modèle capability depends on architecture, données, training, inference configuration, outils et evaluation context.
What this concept excludes
- A donnéesbase that retrieves stored sentences without a learned generative modèle
- A claim that generated text represents understanding, truth ou agency by itself
Tags and disciplines
LLMTransformerTokensInferenceLanguage ModèlesIntelligence artificielleMachine LearningProgrammingSystèmes de connaissance
References declared for this record
- Attention Is All You Need Ashish Vaswani et al. / arXiv / 2017-06-12
Rôle
Grand modèle de langage est documenté ici comme une entrée française du graphe public d’Electronic Artefacts. Large language modèles combine tokenization, embeddings, transformer layers, attention, training objectives et probabilistic decoding à generate ou transform language.
Usage
Cette notion sert à relier les projets, publications et technologies qui partagent un même vocabulaire de conception. A large language modèle est un parameterized machine-learning modèle trained à predict et generate sequences de tokens from statistical patterns learned across large text ou multimodal corpora.
Domaines
Cette entrée croise notamment les domaines suivants : Intelligence artificielle, Machine Learning, Programming, Systèmes de connaissance.
Références
Les références principales restent les sources indiquées dans la fiche canonique, notamment Attention Is All You Need.
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How to cite this record
Grand modèle de langage. 1.0.0. Electronic Artefacts, 2026-06-25. https://electronicartefacts.com/fr/knowledge/concepts/large-language-model/
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