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improve qa generate prompt (#3132)
Co-authored-by: jyong <jyong@dify.ai>
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@ -166,6 +166,7 @@ class LLMGenerator:
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response = model_instance.invoke_llm(
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response = model_instance.invoke_llm(
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prompt_messages=prompt_messages,
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prompt_messages=prompt_messages,
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model_parameters={
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model_parameters={
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'temperature': 0.01,
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"max_tokens": 2000
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"max_tokens": 2000
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},
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},
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stream=False
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stream=False
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@ -69,13 +69,15 @@ SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (
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)
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)
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GENERATOR_QA_PROMPT = (
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GENERATOR_QA_PROMPT = (
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'The user will send a long text. Please think step by step.'
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'<Task> The user will send a long text. Generate a Question and Answer pairs only using the knowledge in the long text. Please think step by step.'
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'Step 1: Understand and summarize the main content of this text.\n'
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'Step 1: Understand and summarize the main content of this text.\n'
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'Step 2: What key information or concepts are mentioned in this text?\n'
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'Step 2: What key information or concepts are mentioned in this text?\n'
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'Step 3: Decompose or combine multiple pieces of information and concepts.\n'
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'Step 3: Decompose or combine multiple pieces of information and concepts.\n'
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'Step 4: Generate 20 questions and answers based on these key information and concepts.'
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'Step 4: Generate questions and answers based on these key information and concepts.\n'
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'The questions should be clear and detailed, and the answers should be detailed and complete.\n'
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'<Constraints> The questions should be clear and detailed, and the answers should be detailed and complete. '
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"Answer MUST according to the the language:{language} and in the following format: Q1:\nA1:\nQ2:\nA2:...\n"
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'You must answer in {language}, in a style that is clear and detailed in {language}. No language other than {language} should be used. \n'
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'<Format> Use the following format: Q1:\nA1:\nQ2:\nA2:...\n'
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'<QA Pairs>'
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)
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)
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RULE_CONFIG_GENERATE_TEMPLATE = """Given MY INTENDED AUDIENCES and HOPING TO SOLVE using a language model, please select \
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RULE_CONFIG_GENERATE_TEMPLATE = """Given MY INTENDED AUDIENCES and HOPING TO SOLVE using a language model, please select \
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