What is Multimodal AI?
Multimodal AI processes multiple types of input — text, images, audio, and video — in a single model. GPT-4o and Gemini 1.5 Pro are leading examples.
TL;DR: Multimodal AI processes multiple types of input — text, images, audio, and video — in a single model. GPT-4o and Gemini 1.5 Pro are leading examples.
Unimodal vs Multimodal
Early AI was unimodal — a text model only processed text, an image model only processed images. Multimodal models unify these, allowing a single model to reason across text + images + audio together, the way humans naturally do.
What Current Models Can Do
GPT-4o: accepts text + image input, outputs text. Gemini 1.5 Pro: accepts text + image + audio + video, outputs text. Claude 3.5 Sonnet: text + image input, outputs text. All can read charts, diagrams, screenshots, and describe images in detail.
Practical Multimodal Use Cases
Debug UI from a screenshot. Extract data from a photo of a receipt. Analyze a chart and explain trends. Describe an image for accessibility. Transcribe and summarize meeting audio. Review architectural diagrams.
Image Generation vs Image Understanding
Understanding: GPT-4o reads and describes images (vision input). Generation: DALL-E 3, Midjourney, Stable Diffusion create images from text prompts. Some models (GPT-4o with DALL-E integration) can both understand AND generate images.