What is Vision-Language Model (VLM)?
Vision-Language Model (VLM) — An AI model capable of understanding both images and text simultaneously.
VLMs understand both images and text simultaneously, enabling tasks like describing photos, answering questions about charts, reading documents, and analyzing visual data. GPT-4V, Claude 3, and Gemini are leading VLMs that accept image inputs alongside text.
Frequently Asked Questions
What can VLMs do that text-only models cannot?
Read and interpret images, charts, diagrams, handwriting, screenshots, and documents. They can answer questions about visual content, extract data from images, and describe scenes.
How accurate are VLMs at reading documents?
Very accurate for printed text and standard layouts. Accuracy drops with handwriting, unusual fonts, damaged documents, or complex multi-column layouts. Always validate critical extractions.
Can VLMs generate images?
Most VLMs are input-only for images (they can see but not draw). Separate models like DALL-E and Stable Diffusion handle image generation. Some newer models combine both capabilities.