vision-language models
**vision-language models**
What is vision-language models?
Vision-language models (VLMs) are a type of artificial intelligence model that bridges the gap between computer vision and natural language processing. They are trained on large datasets of images and corresponding text descriptions, enabling them to understand and reason about the relationship between visual and textual information. VLMs are commonly used for tasks such as image captioning (generating textual descriptions for images), visual question answering (answering questions about images), and text-to-image generation (creating images from text prompts).
What other technologies are related to vision-language models?
vision-language models Complementary Technologies
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