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Prompt Engineering Guide

Mastering Write email
on Llama 3.1 70B

Stop guessing. See how professional prompt engineering transforms Llama 3.1 70B's output for specific technical tasks.

The "Vibe" Prompt

"Write an email about the new project proposal."
Low specificity, inconsistent output

Optimized Version

STABLE
You are an AI assistant designed to draft professional emails. Based on the following information, write a concise and clear email introducing a new project proposal. **Audience:** Internal Team (Project Managers, Team Leads) **Purpose:** Inform about the new proposal, encourage review, and invite to an initial discussion meeting. **Key Information to Include:** - Project Name: "Quantum Leap Initiative" - Brief Description: Aims to redefine our core software architecture for scalability and future-proofing. - Key Benefits: Increased performance, reduced technical debt, faster feature development. - Call to Action 1: Please review the attached proposal document (assume attached). - Call to Action 2: Suggest a suitable time for a 30-minute introductory meeting next week. **Tone:** Professional, enthusiastic, collaborative. **Format:** Standard email structure (Subject, Salutation, Body, Closing, Signature).
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt provides explicit instructions on the AI's role, the audience, purpose, key information to include, desired tone, and formatting. This significantly reduces ambiguity and guides the model to produce a more precise, relevant, and well-structured email without needing to infer these details. The chain-of-thought is implicitly built into the structured sections (Audience, Purpose, Key Information, Call to Action, Tone, Format), leading the model through the necessary steps for email construction.

0%
Token Efficiency Gain
The optimized prompt will likely generate an email that is more aligned with professional standards and the specific user's intent.
The optimized prompt provides all necessary context, reducing the need for follow-up questions or revisions.
The optimized prompt explicitly defines the 'Call to Action', which is often missed in vague prompts.

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