What is Multimodal AI?
AI that can process and generate multiple types of content — text, images, audio, video.
Definition
Multimodal AI refers to models that can understand and generate more than one type of content. Instead of being limited to text, multimodal models can process images, audio, video, and code simultaneously. This enables tasks like describing images, generating images from text, understanding video content, and combining modalities in responses.
💡 Example
GPT-4o is multimodal — you can upload an image of a chart and ask it to analyze the data, or describe a scene and have DALL-E generate an image. Gemini can process text, images, and audio together.
Related concepts
What is Multimodal AI?
Multimodal AI refers to models that can understand and generate more than one type of content. Instead of being limited to text, multimodal models can process images, audio, video, and code simultaneously. This enables tasks like describing images, generating images from text, understanding video content, and combining modalities in responses.
How does Multimodal AI work in practice?
GPT-4o is multimodal — you can upload an image of a chart and ask it to analyze the data, or describe a scene and have DALL-E generate an image. Gemini can process text, images, and audio together.