Posts tagged Multimodal

Multimodal (Visual and Language) understanding with LLaVA-NeXT

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Interacting with Contrastive Language-Image Pre-Training (CLIP) model on AMD GPU

Contrastive Language-Image Pre-Training (CLIP) is a multimodal deep learning model that bridges vision and natural language. It was introduced in the paper “Learning Transferrable Visual Models from Natural Language Supervision” (2021) from OpenAI, and it was trained contrastively on a huge amount (400 million) of web scraped data of image-caption pairs (one of the first models to do this).

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