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Prompt Engineering Guide

Mastering Meeting notes extraction
on Phi-3.5 MoE

Stop guessing. See how professional prompt engineering transforms Phi-3.5 MoE's output for specific technical tasks.

The "Vibe" Prompt

"Extract the key discussion points, decisions made, and action items from these meeting notes: [MEETING_NOTES_TRANSCRIPT]"
Low specificity, inconsistent output

Optimized Version

STABLE
You are an expert meeting summarizer. Read the following meeting transcript carefully. Your goal is to extract the most critical information, focusing on actionable outcomes and decisions. Follow these steps: 1. **Identify the Meeting's Core Purpose:** Briefly state the main topic or objective discussed. 2. **Extract Key Discussion Points:** List the 3-5 most important topics or arguments raised. Use bullet points. 3. **Identify Decisions Made:** List all explicit decisions reached or agreed upon. If no definitive decisions were made, state 'No definitive decisions were reached.' Use bullet points. 4. **Extract Action Items:** For each action item, include: * **Action:** What needs to be done. * **Assignee(s):** Who is responsible. * **Due Date (if specified):** When it needs to be completed. If no action items are present, state 'No specific action items identified.' Use bullet points for each action item, with sub-bullets for details. 5. **Summarize Next Steps/Follow-up:** Briefly describe any agreed-upon next steps or future discussions. Meeting Transcript: [MEETING_NOTES_TRANSCRIPT] Provide the extracted information in a clear, concise, and structured format based on the steps above. Ensure all extracted items are directly supported by the transcript.
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt provides explicit instructions on what to extract (key discussion points, decisions, action items, next steps), how to format it (bullet points, specific fields for action items), and includes chain-of-thought elements by asking the model to 'Identify the Meeting's Core Purpose' before diving into details. It also reinforces the model's role ('expert meeting summarizer') and emphasizes accuracy ('directly supported by the transcript'). This structure guides the model to produce higher quality, more relevant, and consistently formatted output, reducing the likelihood of omissions or hallucinations. The clear delineation of tasks helps the model focus its attention and reasoning.

0%
Token Efficiency Gain
The output explicitly identifies the meeting's core purpose.
Decisions made are clearly listed, or the lack thereof is stated.
Action items are parsed into 'Action', 'Assignee(s)', and 'Due Date' fields.

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