ByteDance's collaboration with Zhejiang University on the Vista-LLaMA multimodal large language model introduces a new solution framework for video content understanding and generation. Through a unique processing method, this model avoids the "hallucination" phenomenon in long videos and excels in multiple benchmark tests. The introduction of the new CineClipQA dataset further enhances the training and testing resources for multimodal language models.