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Recent research has focused on crafting advanced Multimodal Large Language Models (MLLMs) that seamlessly integrate visual and textual data complexities. By delving into the minutiae of architectural design, data selection, and methodological transparency, research has pushed the boundaries of what MLLMs can achieve and support future explorations. Their work is particularly notable for its comprehensive approach to dissecting the various components that contribute to the success of these models, shedding light on the pivotal roles played by image encoders, vision-language connectors, and the strategic amalgamation of diverse data types. The researchers at Apple build MM1, a family of cutting-edge multimodal