Developments like enhancing captions using LLMs have shown success in video processing. Access to raw high-quality video data is essential as a bottleneck. Language models with larger context windows offer more input flexibility, evolving rapidly from tiny to extensive contexts. Applying this approach to video processing, especially with very long context windows of millions of tokens, holds promise for tasks like video summarization and understanding.

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