Multimodal AI: Combining Vision, Language, and Audio
Build AI systems that process multiple data types. Applications in robotics, accessibility, and content creation.
Beyond Single Modality
Multimodal AI systems process and understand multiple types of data—text, images, audio, video—simultaneously.
Why Multimodal?
Key Modalities
Vision-Language
Audio-Language
Video Understanding
Technical Approaches
Early Fusion
Combine inputs at feature level.
Late Fusion
Process separately, combine decisions.
Cross-Attention
Learn relationships between modalities.
Unified Transformers
Single architecture for all modalities.
Leading Models
Applications
Accessibility
Content Creation
Robotics
Implementation
Conclusion
Multimodal AI enables more natural and capable AI systems.
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