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@@ -15,7 +15,7 @@ It is based on an encoder-decoder transformer architecture, and can autoregressi
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  FastChat-T5 was trained on April 2023.
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  **Organizations developing the model:**
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- The FastChat developers.
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  **Paper or resources for more information:**
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  https://github.com/lm-sys/FastChat#FastChat-T5
 
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  FastChat-T5 was trained on April 2023.
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  **Organizations developing the model:**
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+ The FastChat developers, primarily Dacheng Li, Lianmin Zheng and Hao Zhang.
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  **Paper or resources for more information:**
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  https://github.com/lm-sys/FastChat#FastChat-T5