This is a simplified guide to an AI model called Llava-Next-Video maintained by Uncensored-Com. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Model overview
llava-next-video is a large language and vision model developed by the team led by Chunyuan Li that can process and understand video content. It is part of the LLaVA-NeXT family of models, which aims to build powerful multimodal AI systems that can excel across a wide range of visual and language tasks. Unlike similar models like whisperx-video-transcribe and insanely-fast-whisper-with-video that focus on video transcription, llava-next-video can understand and reason about video content at a high level, going beyond just transcription.
Model inputs and outputs
llava-next-video takes a video file as input and a prompt that describes what the user wants to know about the video. The model can then generate a textual response that answers the prompt, drawing insights and understanding from the video content.
Inputs
- Video: The input video file that the model will process and reason about
- Prompt: A natural language prompt that describes what the user wants to know about the video
Outputs
- Text response: A textual response generated by the model that answers the given prompt based on its understanding of the video
Capabilities
llava-next-video can perform a varie...
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