This AI Paper from UC Berkeley Advances Machine Learning by Integrating Language and Video for Unprecedented World Understanding with Innovative Neural Networks

Current approaches to world modeling largely focus on short sequences of language, images, or video clips. This means models miss out on information present in longer sequences. Videos encode sequential context that can’t be easily gleaned from text or static images. Long-form text holds information unobtainable in short pieces and is key to applications like […]

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