Multimodal AI

AI systems that can understand and process multiple types of data simultaneously, such as text, images, audio, and video, mimicking human-like comprehension across different senses. Rather than having separate systems for each data type, multimodal AI integrates information from various sources to create richer understanding and more sophisticated responses. Think of it like how humans naturally combine what they see, hear, and read to understand a situation - a multimodal AI can analyze a photo, read its caption, and answer questions that require understanding both visual and textual elements. This enables applications like describing images in detail, generating images from text descriptions, or creating videos with synchronized audio and visuals.