Set your Publisher ID in src/config/ads.ts to display live ads.
Multimodal AI: Vision, Audio & Cross-Modal Systems
Vision-Language Models (VLMs), CLIP, Whisper, and Image-to-Text architectures
Multimodal AI models process and synthesize multiple data modalities—text, imagery, video, and audio—within unified shared embedding spaces.
Connecting Modalities with Contrastive Learning (CLIP)
OpenAI CLIP (Contrastive Language-Image Pretraining) trains an image encoder and text encoder concurrently on millions of (image, caption) web pairs.
It maximizes the cosine similarity between matched image-text pairs while minimizing similarity for mismatched pairs.
Modern Vision-Language Models (VLMs like GPT-4V, Claude 3.5 Sonnet, Gemini Pro) connect a vision encoder to an LLM backbone via a projection layer, allowing the model to reason across diagrams, screenshots, charts, and code simultaneously.
Set your Publisher ID in src/config/ads.ts to display live ads.
Test Yourself With Exercise
How does OpenAI CLIP connect text and images?