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It is designed to comprehensively assess the capabilities of mllms in processing video data, covering a wide range of visual domains, temporal durations, and data modalities.
Unlike previous models that serve as offline mode (querying/responding to a full video), our model supports online interaction within a video stream It can proactively update responses during a stream, such as recording activity changes or helping with the next steps in real time. Notebooklm may take a while to generate the video overview, feel free to come back to your notebook later. Hack the valley ii, 2018
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