Apprentissage automatique multimodal


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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