update
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+7
-4
@@ -230,8 +230,9 @@ function decisionMaker(state::T1, context, text2textInstructLLM::Function,
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]
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# put in model format
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prompt = GeneralUtils.formatLLMtext(_prompt; formatname="qwen")
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prompt = GeneralUtils.formatLLMtext(_prompt, "granite3")
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response = text2textInstructLLM(prompt; llmkwargs=llmkwargs)
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response = GeneralUtils.deFormatLLMtext(response, "granite3")
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# LLM tends to generate observation given that it is in the input
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response =
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@@ -448,12 +449,13 @@ function evaluator(state::T1, text2textInstructLLM::Function
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]
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# put in model format
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prompt = GeneralUtils.formatLLMtext(_prompt; formatname="qwen")
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prompt = GeneralUtils.formatLLMtext(_prompt, "granite3")
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header = ["Trajectory_evaluation:", "Answer_evaluation:", "Accepted_as_answer:", "Score:", "Suggestion:"]
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dictkey = ["trajectory_evaluation", "answer_evaluation", "accepted_as_answer", "score", "suggestion"]
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response = text2textInstructLLM(prompt, modelsize="medium")
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response = GeneralUtils.deFormatLLMtext(response, "granite3")
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# sometime LLM output something like **Comprehension**: which is not expected
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response = replace(response, "**"=>"")
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@@ -603,7 +605,7 @@ function reflector(config::T1, state::T2)::String where {T1<:AbstractDict, T2<:A
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]
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# put in model format
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prompt = GeneralUtils.formatLLMtext(_prompt; formatname="qwen")
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prompt = GeneralUtils.formatLLMtext(_prompt, "granite3")
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externalService = config[:externalservice][:text2textinstruct]
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# apply LLM specific instruct format
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@@ -1176,10 +1178,11 @@ function generatequestion(state::T1, context, text2textInstructLLM::Function;
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]
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# put in model format
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prompt = GeneralUtils.formatLLMtext(_prompt; formatname="qwen")
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prompt = GeneralUtils.formatLLMtext(_prompt, "granite3")
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try
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response = text2textInstructLLM(prompt, modelsize="medium")
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response = GeneralUtils.deFormatLLMtext(response, "granite3")
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# check if response is valid
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q_number = count("Q", response)
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