What is VLM?
Vision Language Model
A VLM (Vision Language Model) is a model that understands both visual and textual data.
Definition and Word Origin
It is the addition of eyes to a text model: it looks at a photo and identifies the object, interprets a chart, and converts handwriting to text. It is the vision-text member of the multimodal family.
How to Know and Use in Daily Life?
Analysis: Image captioning.
Assistant: Visual question answering.
Accessibility: Describing the image aloud.
Technical Depth and Architecture
Combination:
Image encoder: Converts pixels to vectors.
Language model: Processes text and vectors together.
Alignment: Training where both match (CLIP-like).
Workflow example:
girdi: foto + "Bu grafikteki tepe kaç?"
çıktı: "120, mart ayında."Limitation: Small details and handwriting are difficult; humans review critical tasks.
Frequently Mixed Things
Thought to be multimodal. Multimodal is the family name, VLM is the vision-text member. One is the set, the other is the element.
Use in Different Disciplines
Reading: Understanding text aloud.
Subtitle: Adding subtitles to a movie.
Guide: Describing artwork in a museum.
Questions and answers
What is the difference from the classical model?
In addition to text, it understands visuals. Photograph questions can be answered.
How is it trained?
Aligned with image and text pairs. As matching increases, comprehension increases.
Does it support Turkish?
It varies depending on the model. Multilingual trained ones support it.
What does it cost?
It is higher than the text model. Visual processing introduces additional overhead.
Related terms
Related tools
This explanation was written in plain language for TreScout with AI 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 →