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Google's Mirasol3B is a multimodal autoregressive model that can learn and understand across audio, video, and text modalities. It is a significant advancement in AI research, as it represents a new approach to multimodal learning that is more integrated and efficient than previous methods. Mirasol3B is based on a new type of transformer architecture called the Combiner transformer . The Combiner transformer allows the model to process different modalities in a more synchronized way , which improves its overall performance. Mirasol3B is still under development , but it has already shown promising results on a number of benchmarks. For example, it has significantly outperformed previous state-of-the-art models on the task of video captioning. Mirasol3B is a valuable addition to the toolkit of researchers working on multimodal understanding, and it is likely to have a significant impact on the field. Mastering Multimodal Complexity The intricate dance of multimodal machine learning u