Provide examples of prompts that effectively guide models to generate domain-specific responses.

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....