Effective prompts play a crucial role in guiding language models to generate domain-specific responses that are accurate, relevant, and contextually appropriate. These prompts provide clear instructions, constraints, or context that help the model understand the desired output within a specific domain. Here are examples of prompts that effectively guide models to generate domain-specific responses:
1. Medical Diagnoses:
Prompt: "Given the patient's symptoms of fever, cough, and shortness of breath, please generate a diagnosis and recommended treatment plan."
2. Legal Advice:
Prompt: "Provide legal advice on the rights and responsibilities of tenants in a rental dispute scenario, considering the local tenancy laws."
3. Code Generation:
Prompt: "Write a Python function that calculates the factorial of a given positive integer."
4. Restaurant Recommendations:
Prompt: "Suggest three upscale Italian restaurants in downtown Manhattan, emphasizing good wine selection....
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