For a long time, each ML model operated in one data mode – text (translation, language modeling), image (object detection, image classification), or audio (s...

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Chip Huyen

Multimodal systems involve working with multiple data modalities such as text, image, audio, and more. OpenAI's CLIP and DeepMind's Flamingo are significant models in the field. Flamingo extends CLIP by incorporating a language model component. Research directions in the field include incorporating more data modalities, developing multimodal systems for instruction-following, and creating adapters for more efficient multimodal training.

Multimodality and Large Multimodal Models (LMMs)

Part 2. Fundamentals of Multimodal Training

CLIP: Contrastive Language-Image Pre-training

Multimodal systems for instruction-following

Adapters for more efficient multimodal training