What is Multimodal AI?
AI that can understand and generate multiple types of content (text, images, audio, video).
Definition
Multimodal AI systems can process and generate multiple types of media, not just text. GPT-4 can analyze images, Gemini can process video, and some models can generate images (DALL-E) or voice (ElevenLabs). This enables richer interactions and new use cases.
Examples
Why It Matters
Multimodal capabilities let you work with AI using images, documents, and soon audio/video inputs.
Related Terms
Common Questions
What does Multimodal AI mean in simple terms?
AI that can understand and generate multiple types of content (text, images, audio, video).
Why is Multimodal AI important for AI users?
Multimodal capabilities let you work with AI using images, documents, and soon audio/video inputs.
How does Multimodal AI relate to AI chatbots like ChatGPT?
Multimodal AI is a fundamental concept in how AI assistants like ChatGPT, Claude, and Gemini work. For example: GPT-4 analyzing screenshots Understanding this helps you use AI tools more effectively.
Related Use Cases
AI Models Using This Concept
See Multimodal AI in Action
Council lets you compare responses from multiple AI models side-by-side. Experience different approaches to the same prompt instantly.