Multi-Modal Learning

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A subfield of Machine Learning focused on interpreting and integrating multimodal signals, aiming to build models that can process and relate information from multiple types of data, such as text, images, audio, and video. This approach enables models to understand and analyze complex, real-world data that comes in various forms, improving their ability to make more accurate predictions and decisions.