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fix failing test
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@@ -48,9 +48,9 @@ def test_evaluate_training_data(converter_mock):
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mock.call(
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mock.call(
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llm=original_agent.llm,
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llm=original_agent.llm,
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text="Assess the quality of the training data based on the llm output, human feedback , and llm "
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text="Assess the quality of the training data based on the llm output, human feedback , and llm "
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"output improved result.\n\nInitial Output:\nInitial output 1\n\nHuman Feedback:\nHuman feedback "
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"output improved result.\n\nIteration: data1\nInitial Output:\nInitial output 1\n\nHuman Feedback:\nHuman feedback "
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"1\n\nImproved Output:\nImproved output 1\n\nInitial Output:\nInitial output 2\n\nHuman "
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"1\n\nImproved Output:\nImproved output 1\n\n------------------------------------------------\n\nIteration: data2\nInitial Output:\nInitial output 2\n\nHuman "
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"Feedback:\nHuman feedback 2\n\nImproved Output:\nImproved output 2\n\nPlease provide:\n- Provide "
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"Feedback:\nHuman feedback 2\n\nImproved Output:\nImproved output 2\n\n------------------------------------------------\n\nPlease provide:\n- Provide "
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"a list of clear, actionable instructions derived from the Human Feedbacks to enhance the Agent's "
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"a list of clear, actionable instructions derived from the Human Feedbacks to enhance the Agent's "
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"performance. Analyze the differences between Initial Outputs and Improved Outputs to generate specific "
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"performance. Analyze the differences between Initial Outputs and Improved Outputs to generate specific "
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"action items for future tasks. Ensure all key and specificpoints from the human feedback are "
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"action items for future tasks. Ensure all key and specificpoints from the human feedback are "
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