Large Multimodal Model

Large multimodal models (LMMs) are advanced artificial intelligence (AI) systems designed to process and generate outputs across multiple data types – such as text, images, audio and video – within a single unified architecture. Unlike traditional models that handle only one modality, LMMs integrate diverse input sources to better understand context and deliver more accurate, human-like responses. Examples include models like GPT-4V and Gemini, which can interpret images and text together to answer questions, describe visuals, or generate captions. LMMs power applications in healthcare diagnostics, creative content generation, virtual assistants and enterprise automation – enabling richer, more versatile AI experiences across industries.