Multimodal AI refers to systems that combine and interpret different types of data—text, vision, audio—to interact with the world more like humans do.
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Combines text, images, video, audio, and other data types for richer context.
Integrates sensory data to perceive, reason, and generate human-like responses.
Enables smarter virtual assistants, content generators, and support agents.
Solves complex tasks like visual question answering, captioning, and voice-command interfaces.
At the cutting edge of AI—blending modalities for more intuitive, human-like interaction.
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