Multimodal

Multimodal refers to AI systems that can understand and integrate multiple types of data, such as text, images, and sound, simultaneously.Delving deeper, traditional AI systems often focus on a single type of data or 'modality', like text for language models or images for computer vision models. However, real-world data is often multimodal, meaning it includes multiple types of data at once. Think of social media posts that include text, images, and sometimes sound all together. Multimodal AI systems are designed to handle this complexity, integrating and understanding these different types of data together. This allows for more comprehensive and nuanced analyses, like understanding the sentiment of a post by considering both the text and the accompanying image.

In summary, multimodal refers to systems that can handle, integrate, and understand multiple types of data, such as text, images, and sound, at the same time.