

Large World Models
Overview :
Large World Models is a neural network trained with RingAttention technology, focusing on processing long videos and language sequences to comprehend human knowledge and a multimodal world. Through training on massive datasets, it has achieved an unprecedented size of context and has released a series of 7-billion parameter models capable of handling text and video with over 1 million tokens. These models are designed to facilitate long video understanding, long text processing, multimodal learning, and visual-language interaction.
Target Users :
["Video content analysis","Long text generation","Multimodal data research"]
Use Cases
Analyzing video content from YouTube that exceeds 1 hour
Generating images and videos based on text prompts
Answering questions about complex multimodal worlds
Features
Long video understanding
Long text processing
Multimodal learning
Visual-language interaction
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