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@@ -20,8 +20,32 @@ The dataset was tokenized and fed to the model as a conversation between two spe
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  - the default inference API examples should work _okay_
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  - an ideal test would be explicitly adding `person beta` into the prompt text the model is forced to respond to instead of adding onto the entered prompt.
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- ## citations
 
 
 
 
 
 
 
 
 
 
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  @inproceedings{dinan2019wizard,
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  author={Emily Dinan and Stephen Roller and Kurt Shuster and Angela Fan and Michael Auli and Jason Weston},
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  title={{W}izard of {W}ikipedia: Knowledge-powered Conversational Agents},
 
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  - the default inference API examples should work _okay_
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  - an ideal test would be explicitly adding `person beta` into the prompt text the model is forced to respond to instead of adding onto the entered prompt.
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+
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+ ### Example prompt:
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+
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+ ```
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+ do you like to eat beans?
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+
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+ person beta:
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+ ```
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+
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+ ### Resulting output
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+
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  ```
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+ do you like to eat beans?person beta:
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+ yes, i like fried beans.
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+
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+ person alpha:
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+ i wonder when the first beans were cultivated and how they were processed.
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+
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+ person beta:
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+ nitrogenic bacteria (in
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+ ```
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+
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+ _Note: the Inference API cuts off generation due to length, if run elsewhere you would see what comes after "(in"_
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+
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+ ## citations
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+
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  @inproceedings{dinan2019wizard,
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  author={Emily Dinan and Stephen Roller and Kurt Shuster and Angela Fan and Michael Auli and Jason Weston},
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  title={{W}izard of {W}ikipedia: Knowledge-powered Conversational Agents},