The analysis of pretraining tasks such as text-to-video (T2V) and self-supervised learning (SSL) reveals insights into the effectiveness of model capabilities across video generation.
Through comprehensive experiments, this study showcases how diverse training regimes enhance the generative capabilities of LLMs, especially in the context of multimedia data.
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