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What is VLM?

Vision Language Model

It is an artificial intelligence model that can understand and comment on both texts and images simultaneously.

Overview

It is a system that perceives the world not only with text but also with its eyes. It can look at a photo and identify the objects within it, interpret a chart, or convert a handwritten note into digital text.

Analogy: It is like giving both reading and seeing abilities to someone who only knows how to read and write.

How it works

The model undergoes a special training process that combines visual data with text data. When you upload an image and ask a question, the model synthesizes the details in the image with text information to provide an answer.

Where it is used

It is used in image analysis, automatic content description, and vision-based artificial intelligence assistants.

Commonly confused with

It is similar to multimodal models; VLM is a vision-text-focused subset of multimodal artificial intelligence.

Frequently asked questions

What is the difference between VLM and classic artificial intelligence?

While classic models only process text, VLM models can also directly understand visual data.

Related terms

Related tools

This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →