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columns:
  message_text:
    modelName: meta-llama/Llama-3.3-70B-Instruct
    modelProvider: cerebras
    userPrompt: Write a message that could be sent to someone with the intention of
      networking, but with unprofessional intention
    prompt: >
      
      You are a rigorous text-generation engine. Generate only the requested
      output format, with no explanations following the user instruction.
      Prioritize originality and diversity.



      # User Instruction

      Write a message that could be sent to someone with the intention of
      networking, but with unprofessional intention



      ## Output Format

      Generate **only** the output requested in the user instruction. No
      additional introductions, explanations, or labels. 


      ## Your response
    searchEnabled: false
    columnsReferences: []
  recipient_characteristics:
    modelName: meta-llama/Llama-3.3-70B-Instruct
    modelProvider: cerebras
    userPrompt: Describe the characteristics of the recipient that are being
      targeted in {{message_text}}, such as physical appearance or intelligence
    prompt: "

      You are a rigorous, intelligent data-processing engine. Generate only the
      requested output format, with no explanations following the user
      instruction. You might be provided with positive, accurate examples of how
      the user instruction must be completed.


      # User instruction

      Describe the characteristics of the recipient that are being targeted in
      {{message_text}}, such as physical appearance or intelligence



      # Output

      \    "
    searchEnabled: false
    columnsReferences:
      - message_text
  Standard_response_suggestion:
    modelName: meta-llama/Llama-3.3-70B-Instruct
    modelProvider: cerebras
    userPrompt: Write a strong and well-articulated response to his message that
      makes it clear his inappropriate comments are unacceptable and
      disgraceful.
    prompt: "

      You are a rigorous, intelligent data-processing engine. Generate only the
      requested output format, with no explanations following the user
      instruction. You might be provided with positive, accurate examples of how
      the user instruction must be completed.


      # User instruction

      Write a strong and well-articulated response to his message that makes it
      clear his inappropriate comments are unacceptable and disgraceful.



      # Output

      \    "
    searchEnabled: false
    columnsReferences:
      - message_text
  Disarming_response:
    modelName: meta-llama/Llama-3.3-70B-Instruct
    modelProvider: cerebras
    userPrompt: Suggest a possible response to {{message_text}} that checked him real quick
    prompt: "

      You are a rigorous, intelligent data-processing engine. Generate only the
      requested output format, with no explanations following the user
      instruction. You might be provided with positive, accurate examples of how
      the user instruction must be completed.


      # User instruction

      Suggest a possible response to {{message_text}} that checked him real
      quick



      # Output

      \    "
    searchEnabled: false
    columnsReferences:
      - message_text
  Fun_Formal_response_suggestion:
    modelName: meta-llama/Llama-3.3-70B-Instruct
    modelProvider: cerebras
    userPrompt: Write a well-crafted response to his message that makes it clear to
      this guy that he's a piece of trash for his inappropriate remarks.
    prompt: >
      
      You are a rigorous text-generation engine. Generate only the requested
      output format, with no explanations following the user instruction.
      Prioritize originality and diversity.



      # User Instruction

      Write a well-crafted response to his message that makes it clear to this
      guy that he's a piece of trash for his inappropriate remarks.



      ## Output Format

      Generate **only** the output requested in the user instruction. No
      additional introductions, explanations, or labels. 


      ## Your response
    searchEnabled: false
    columnsReferences: []