« Apprentissage automatique multimodal » : différence entre les versions


(Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' XXXXXXXXX ''' == Anglais == ''' XXXXXXXXX ''' <small> [XXXXXXX Source : ??? ] There is a big... »)
 
(Aucune différence)

Version du 23 février 2023 à 08:48

en construction

Définition

XXXXXXXXX

Français

XXXXXXXXX

Anglais

XXXXXXXXX

[XXXXXXX Source : ??? ]

There is a big convergence happening in language, vision, and in general pre-trained large AI models.

Multimodal ML is emerging as a discipline for building general-purpose, universal models across different modalities. An important area of MMML deals with large-scale, self-supervised, pre-trained models (foundation models) that can generalise with little or no fine-tuning.



Contributeurs: Imane Meziani, Patrick Drouin, wiki