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Prompt Engineering Guide

Mastering Meeting notes extraction
on SambaNova Llama 405B

Stop guessing. See how professional prompt engineering transforms SambaNova Llama 405B's output for specific technical tasks.

The "Vibe" Prompt

"Extract the key discussion points, decisions made, and follow-up actions from the following meeting notes: [MEETING_NOTES_TEXT]"
Low specificity, inconsistent output

Optimized Version

STABLE
You are an expert meeting summarizer. Your task is to meticulously extract information from the provided meeting notes. Follow these strict instructions to produce a comprehensive summary, paying close attention to detail. ### Instructions: 1. **Identify Key Discussion Points:** List the primary topics and significant subjects that were discussed. For each point, provide a brief, high-level summary of what was covered. 2. **Extract Decisions Made:** Clearly identify and enumerate all resolutions, agreements, and decisions reached during the meeting. State the decision precisely. 3. **Detail Follow-up Actions:** Enumerate all tasks, assignments, and next steps agreed upon. For each action, specify: a. **Action Item:** The specific task to be performed. b. **Responsible Person(s):** Who is accountable for completing this action. c. **Deadline (if specified):** The target date for completion. 4. **Ignore Non-Essential Information:** Do not include greetings, small talk, side conversations, or administrative details that are not directly related to the core discussion, decisions, or actions. 5. **Output Format:** Present the extracted information using the following structure: **Key Discussion Points:** - [Discussion Point 1]: [Brief summary] - [Discussion Point 2]: [Brief summary] ... **Decisions Made:** - [Decision 1] - [Decision 2] ... **Follow-up Actions:** - **Action Item:** [Task] **Responsible:** [Person(s)] **Deadline:** [Date/N/A] - **Action Item:** [Task] **Responsible:** [Person(s)] **Deadline:** [Date/N/A] ... ### Meeting Notes: [MEETING_NOTES_TEXT]
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt leverages several best practices for instruction-tuned models. It starts by assigning a 'persona' ('expert meeting summarizer'), which can help align the model's behavior. It then breaks down the complex task of 'meeting notes extraction' into smaller, more manageable sub-tasks (Key Discussion Points, Decisions Made, Follow-up Actions). Each sub-task has clear, specific instructions, including what to include, what to exclude, and critically, a precise output format. The 'chain-of-thought' is implicitly guided by the sequential instructions and the structured output format, forcing the model to process and categorize information thoughtfully rather than just generating a free-form summary. This structured approach reduces ambiguity and provides concrete examples (via the output format) of the desired response, leading to more accurate, consistent, and complete extractions. The 'Ignore Non-Essential Information' instruction is a crucial negative constraint, guiding the model away from irrelevant details.

0%
Token Efficiency Gain
The 'Key Discussion Points' section in the output is exhaustive and concise.
All stated decisions from the meeting notes are present in the 'Decisions Made' section.
Every follow-up action includes a responsible person and a deadline if specified in the notes.

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