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@@ -8,7 +8,7 @@ base_model:
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  - google-t5/t5-small
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  ---
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  A finetuned model based on t5-small (~60M parameters)
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- that given an answer it responds with a question.
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  This AQ-model is useful in coversations with another LLM-QA-chatbot, so that the conversation does not get stuck but moves continously to new topics.
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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 and repetitive but continue forever :-)
@@ -21,3 +21,5 @@ Test with
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  ./test_aqmodel.py "The hypothesis fails because of the decay with radius to the power of 3"
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  Output: What is the reason the hypothesis is a faulty hypothesis?
 
 
 
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  - google-t5/t5-small
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  ---
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  A finetuned model based on t5-small (~60M parameters)
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+ that given an answer it responds with a question. I call it AQ model because it does the opposite of the usual question answering LLM model.
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  This AQ-model is useful in coversations with another LLM-QA-chatbot, so that the conversation does not get stuck but moves continously to new topics.
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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 and repetitive but continue forever :-)
 
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  ./test_aqmodel.py "The hypothesis fails because of the decay with radius to the power of 3"
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  Output: What is the reason the hypothesis is a faulty hypothesis?
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+
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+ Last but not least: this model was finetuned with help of ChatGPT-4o 8-)