Multimodal learning / multimodal AI
• Multimodal AI - or multimodal learning - mimics the human brain’s ability to simultaneously process textual, visual, and audio information, enabling a more nuanced understanding of reality.
• Transitioning from a unimodal model (like those specialized in text, images, or sounds) to a multimodal model presents technical challenges, particularly in creating shared representations for different types of data.
• Multimodal AI offers advantages such as capturing more comprehensive knowledge of the environment and enabling new applications, like merging data from various modalities for complex tasks.
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• Transitioning from a unimodal model (like those specialized in text, images, or sounds) to a multimodal model presents technical challenges, particularly in creating shared representations for different types of data.
• Multimodal AI offers advantages such as capturing more comprehensive knowledge of the environment and enabling new applications, like merging data from various modalities for complex tasks.
