Multi-Modal Models Vision

Multi-modal models process multiple input types (images, text, audio, video) together to make predictions. Rather than analyzing image or text separately, they understand relationships across modalities. Examples: GPT-4 Vision (image + text), CLIP (image-text understanding), Whisper (audio transcription with language understanding), video understanding models (analyzing video + audio + captions together).