Definition
Multimodal AI refers to artificial intelligence systems that can process, understand, and generate content across multiple modalities (data types) simultaneously.
Modalities Include: - Text (natural language) - Images (photos, diagrams) - Audio (speech, music) - Video (combined visual + audio) - Code (programming languages)
Key Capabilities: - Image understanding and description - Visual question answering - Text-to-image generation - Speech recognition and synthesis
Examples of Multimodal Models: - GPT-4V (vision + text) - Gemini (text, image, audio, video) - Claude 3 (text + vision) - DALL-E 3 (text to image)
Examples
Uploading a photo to GPT-4 and asking it to describe what's happening.
Related Terms
AI models trained on massive text datasets that can understand and generate human-like text.
OpenAI's series of large language models that power ChatGPT.
AI field focused on enabling computers to interpret and understand visual information.
Want more AI knowledge?
Get bite-sized AI concepts delivered to your inbox.
Free intelligence briefs. No spam, unsubscribe anytime.