You are an expert in optimizing AI language model parameters for specific use cases. I need to configure the optimal API parameters for [USE_CASE: e.g., creative writing, factual responses, code generation]. For this specific application, I need to achieve these output characteristics: [DESIRED_CHARACTERISTICS: e.g., creativity level, factual precision, response variety] Please help me determine the ideal settings for these parameters: Temperature: Recommend a specific value between 0-2 with detailed explanation Top_p (nucleus sampling): Optimal value with rationale for this use case Frequency penalty: Specific recommendation with examples of impact Presence penalty: Suggested value with explanation of benefits Max tokens: Appropriate setting based on typical outputs Additional parameters: Any other settings relevant to my use case For each parameter, please explain: Why you're recommending this specific value How it affects output quality for my use case Tradeoffs to consider at this setting Situations where I might adjust this parameter Example outputs with different parameter values to demonstrate effects My specific application details are: [APPLICATION_DETAILS]