Multimodal AI
Expanded definition
Multimodal AI systems can understand, generate, or transform information across modalities. Examples include visual question answering, image generation, speech transcription, document understanding, video analysis, and assistants that combine text with screenshots or files. Model capability varies by supported inputs, outputs, context length, and tool integrations.
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Multimodal AI FAQ
What is Multimodal AI?
Multimodal AI works with more than one data modality, such as text, images, audio, video, documents, or structured data.
How is Multimodal AI used in AI systems?
Multimodal AI systems can understand, generate, or transform information across modalities. Examples include visual question answering, image generation, speech transcription, document understanding, video analysis, and assistants that combine text with screenshots or files. Model capability varies by supported inputs, outputs, context length, and tool integrations.
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