Prompt Engineering Guide
Mastering Customer support response
on Mistral Large 2
Stop guessing. See how professional prompt engineering transforms Mistral Large 2's output for specific technical tasks.
The "Vibe" Prompt
"Hey Mistral, give me a customer support response for a user complaining about a slow website. Be helpful and apologize."
Low specificity, inconsistent output
Optimized Version
You are a customer support agent. A user has reported that our website is slow. Your goal is to provide a helpful, empathetic, and actionable response. Follow these steps:
1. Acknowledge the user's issue and apologize for the inconvenience.
2. State that you understand their frustration and that a slow website is not ideal.
3. Explain that website speed can be affected by various factors (e.g., internet connection, browser cache, server load).
4. Suggest immediate troubleshooting steps the user can take (clearing cache/cookies, trying a different browser/device, checking their internet connection).
5. Inform them that you will also escalate the issue to the technical team for investigation on our end.
6. Provide a timeframe or next steps for follow-up (e.g., 'We'll get back to you within 24 hours with an update' or 'Please let us know if the troubleshooting steps help').
7. End with a polite closing, offering further assistance.
User Complaint: 'Your website is incredibly slow today, I can't even log in properly. This is very frustrating!'
Structured, task-focused, reduced hallucinations
Engineering Rationale
The optimized prompt provides a clear, step-by-step chain-of-thought structure, guiding the model to produce a comprehensive and consistent customer support response. It specifies the persona, objective, and required elements, reducing the likelihood of superficial or off-topic replies. This structured approach leverages the model's ability to follow complex instructions, leading to higher quality and more predictable output compared to the vague 'vibe prompt'.
0%
Token Efficiency Gain
The response acknowledges the user's frustration.
The response offers concrete troubleshooting steps to the user.
The response assures the user that the issue will be investigated internally.
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