Multimodal Language Models

Multimodal Language Models are advanced AI models that can understand and generate information from different types of data such as text, images, and sound simultaneously. These models are designed to capture the complex relationships between different data modes, enabling more comprehensive understanding and generation of content.

Synonyms:

Multi-Modal Pre-trained Models, Multi-Modal Language Models, Multimodal Foundation Models

Papers published in this field over the years:

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Publications for Multimodal Language Models

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