#LLaMA-VID

LLaMA-VID enhances the ability of language models to process hour-long videos using an additional context token, thereby extending the functionality of existing frameworks. Developed from LLaVA, the project provides comprehensive resources including models, datasets, and scripts to facilitate tasks from installation to training. The fully fine-tuned models support a diverse range of activities such as short and long video comprehension, innovating the field of contextual video analysis. Noteworthy updates available through ECCV 2024 highlight LLaMA-VID's role as a leading entity in multimodal instruction tuning, advancing the visual embedding and text-guided feature extraction in large language models.