Large Multi Modal Model

Large multi-modal models (LMMs) integrate multiple data modalities, such as text and images or video, to perform complex tasks like visual question answering and image captioning. Current research emphasizes improving LMM efficiency through techniques like visual context compression and specialized architectures such as mixtures of experts, while also addressing challenges such as hallucinations and robustness to noisy or incomplete data. These advancements are significant because they enable more powerful and versatile AI systems with applications ranging from assistive technologies for the visually impaired to advanced robotics and medical diagnosis.