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Plain-language AI glossary

Term 75ModelsMeaning / context / connections

Models / Definition

Vision Language Model (VLM)

An AI model that can process and reason about both images and text simultaneously, enabling visual question answering, image description, and multimodal analysis.

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MeaningThe one-sentence definition.

02

ContextHow the idea works in practice.

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UsesWhere the concept becomes useful.

01 / Plain-language context

How Vision Language Model (VLM) works.

Vision-language models combine visual perception with language understanding. A user can provide an image or document and ask for a description, extraction, comparison, or answer grounded in what appears there. Architectures vary, but they generally transform visual information into representations the language system can reason over alongside text.

Uses include document extraction, interface analysis, accessibility, visual search, product inspection, and media moderation. Capability and cost vary by model and image detail. Resize or crop only when it preserves the evidence needed for the task, test on difficult real images, and add specialist review for medical, identity, safety, or other high-stakes interpretations.

02 / Practical uses

Where it helps.

  1. 01Document and receipt scanning
  2. 02Visual question answering
  3. 03Medical image analysis
  4. 04Product identification and comparison
  5. 05Accessibility descriptions for images
03 / Keep exploring
Multimodal AIAI models that can process and generate multiple types of data: text, images, audio, video, and code.Computer VisionThe field of AI that enables machines to interpret and understand visual information from images and video.Image GenerationAI models that create new images from text descriptions (prompts), enabling automated visual content creation.Foundation ModelA large, general-purpose AI model trained on broad data that serves as a base for many downstream tasks through fine-tuning, prompting, or adaptation.