TH
🗣️ Vision-Language

Vision-Language Models

AI models that understand both images and language — use natural language prompts to drive Computer Vision

Vision-Language Models
CLIP
Foundation
GPT-4V
Multi-Modal
Zero-shot
No Training
Key Features

What Makes This Technology Special

🔗

CLIP

Connect images and text — understand the relationship between them

🧠

GPT-4V / Gemini

Multi-modal LLMs that understand images and answer questions

🎯

Zero-Shot Classification

Classify images without training — just provide class names

📝

Image Captioning

Automatically describe images in natural language

🔍

Visual QA

Ask questions about images and get accurate answers

🎨

Text-to-Image

Generate images from text descriptions — DALL·E, Stable Diffusion

Benefits

Why You Need This Technology

No Retraining Needed

Use zero-shot to classify new images instantly

Command with Natural Language

Use text prompts instead of writing code

Contextual Understanding

Understands image context — not just object labels

Future of AI Vision

The trend that will transform industrial AI usage

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