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@@ -5,4 +5,6 @@ It is the SQuAD & TriviaQA datasets concatenated
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  but then inverted with answer first and then question.
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  Useful to train LLM models that given an answer need to generate a question.
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- These AQ-models, AQ for AnswerQuestion are useful in conversations with other normal LLM bots that given a question generate an answer.
 
 
 
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  but then inverted with answer first and then question.
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  Useful to train LLM models that given an answer need to generate a question.
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+ These AQ-models, AQ for AnswerQuestion are useful in conversations with other normal LLM bots that given a question generate an answer.
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+
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+ If you have an automatic conversation between two LLMs, one QA-LLM and one AQ-LLM the conversation will not get stuck but continue forever.