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Large Multimodal Models (LMMs) are AI models that process and understand multiple types of data, such as text, images, audio, and video. They extend the capabilities of Large Language Models (LLMs) by integrating vision, speech, and other modalities, enabling tasks like image captioning, video analysis, and text-to-image generation. Examples include OpenAI’s GPT-4V, Google’s Gemini, and Meta’s ImageBind. LMMs are revolutionizing AI applications in content creation, healthcare, robotics, and more.
