LLaVA
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About
LLaVA is a state-of-the-art large language and vision assistant that combines a vision encoder with the Vicuna large language model (LLM). It achieves impressive chat capabilities while surpassing previous methods on multiple benchmarks with minimal training adjustments. The model has been trained on 158K unique language-image instruction-following samples, showcasing robust multimodal understanding and reasoning. This tool is open-source, providing public access to the generated multimodal instruction-following data, code base, and model. It achieved significant results in both general-use conversation and specialized Science QA tasks, setting records for accuracy when working in tandem with GPT-4. Overall, LLaVA represents a breakthrough in multimodal AI integration.
Platform
Features
• combines visual encoder and language model
• achieves state-of-the-art accuracy on benchmarks
• open-source model and code
• trained on unique multimodal instruction-following data
• impressive multimodal chat capabilities
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