Multimodal AI refers to artificial intelligence systems that can process and integrate multiple types of data, such as text, images, audio, and video. Unlike traditional AI models that typically focus on a single modality, multimodal AI leverages diverse data sources to enhance understanding and decision-making. This approach allows for more human-like reasoning and interaction, making it particularly valuable in applications like virtual assistants, self-driving cars, and healthcare diagnostics. By combining different modalities, these systems can provide a more comprehensive understanding of complex scenarios, ultimately leading to improved performance and user experiences.