Definition
Vision-Language models, often referred to as Multimodal Large Language Models (MLLMs), integrate computer vision and natural language processing. They enable AI to understand images and generate text descriptions, answer questions about visual content, or create images from text prompts. These models align visual embeddings with linguistic representations, allowing for complex reasoning across modalities, such as describing a scene in detail or extracting specific objects mentioned in a query from an image.
Summary
Vision-Language models are AI systems that process and correlate visual data with textual information to understand multimodal contexts.
Key Concepts
- Multimodality
- Cross-modal Alignment
- Image Captioning
- Visual Question Answering
Use Cases
- Automated image captioning
- Visual question answering systems
- Content moderation with context