VLM
A Vision-Language Model (VLM) is a multimodal AI model trained on both images and text, enabling it to answer questions about visual content, describe images, or extract structured data from documents.
Frequently Asked Questions
How do VLMs connect images and text?▼
By processing the image through a vision encoder (like a CNN or ViT) and mapping those features to a projection layer that matches the text embedding space of the LLM.
Give an example of a VLM task.▼
Asking a model to write code for a website based on a uploaded screenshot mockup.
Quick Facts
- CategoryNeural Architectures
- Key ApplicationVisual question answering, invoice document processing, and image caption generation
Coverage Trend12 Weeks
Related AI Terms
VLM Media Coverage & Intelligence
RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models
Modern Vision-Language Models (VLMs) often struggle with strategic reasoning, i.e., anticipating and influencing other agents' actions, under uncertainty in com
CaVe-VLM-CoT: An Interpretable Vision-Language Model Framework
Vision-Language Models (VLMs) remain prone to hallucinations, producing fluent but visually unfaithful outputs. Existing chain-of-thought and retrieval-augmente