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README.md
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@@ -20,9 +20,10 @@ We present $\color{goldenrod}{SPHINX}$, a versatile multi-modal large language m
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- **Domain Mix.** For data from real-world and synthetic domains, we mix the weights of two domain-specific models for complementarity.
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<p align="center"> <img src="figs/pipeline.png"/ width="90%"> <br>
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</p>
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## Demo
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Via our proposed three-fold mixer, $\color{goldenrod}{SPHINX}$ exhibits superior multi-modal understanding and reasoning powers.
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<p align="center"> <img src="figs/1.png"/ width="70%"> <br>
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- **Domain Mix.** For data from real-world and synthetic domains, we mix the weights of two domain-specific models for complementarity.
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<p align="center"> <img src="https://github.com/Alpha-VLLM/LLaMA2-Accessory/blob/main/SPHINX/figs/pipeline.png"/ width="90%"> <br>
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</p>
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<p align="center"> <img src="https://github.com/Alpha-VLLM/LLaMA2-Accessory/blob/main/SPHINX/figs/pipeline2.png"/ width="90%"> <br>
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</p>
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## Demo
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Via our proposed three-fold mixer, $\color{goldenrod}{SPHINX}$ exhibits superior multi-modal understanding and reasoning powers.
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<p align="center"> <img src="figs/1.png"/ width="70%"> <br>
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