Multi-Modal Learning

Learning that combines information from different types of data, such as text, images, and audio, allows systems to understand complex patterns. By integrating these diverse sources, models can achieve better performance in tasks like image captioning or speech recognition. This approach helps in creating more robust and flexible AI systems capable of handling real-world scenarios with mixed data inputs.

 

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