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Prompt Engineering Guide

Mastering Summarize document
on Qwen 2.5 72B

Stop guessing. See how professional prompt engineering transforms Qwen 2.5 72B's output for specific technical tasks.

The "Vibe" Prompt

"Summarize the following document: [DOCUMENT]"
Low specificity, inconsistent output

Optimized Version

STABLE
You are an expert summarizer. Your goal is to provide a concise, accurate, and comprehensive summary of the provided document. Follow these steps: 1. **Understand the Core Content:** Read through the document to grasp the main topic, key arguments, and primary information presented. 2. **Identify Key Sentences/Phrases:** Extract the most important sentences and phrases that convey the essential meaning of each section or paragraph. 3. **Synthesize Information:** Combine the identified key information into coherent sentences and paragraphs, ensuring logical flow and avoiding redundancy. Focus on the main points and supporting evidence. 4. **Draft Summary:** Write the initial summary based on the synthesized information. 5. **Refine and Condense:** Review the draft for clarity, conciseness, and completeness. Remove any jargon or overly specific details that are not crucial for understanding the main message. Ensure it captures the essence of the original document without introducing new information or personal opinions. 6. **Final Review:** Check for grammatical errors, spelling mistakes, and punctuation issues. **Document to Summarize:** [DOCUMENT] **Summary:**
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt leverages a chain-of-thought approach, guiding the model through a structured summarization process. It explicitly defines the persona ('expert summarizer') and outlines concrete, cognitive steps (understand, identify, synthesize, draft, refine, review). This structured thinking encourages the model to break down the task, leading to more accurate, comprehensive, and well-organized summaries compared to a simple, ambiguous instruction. It also reduces hallucinations by focusing the model on processing the provided text systematically.

0%
Token Efficiency Gain
The optimized prompt consistently produces summaries that are more coherent and logically structured.
Summaries generated with the optimized prompt demonstrate higher factual accuracy and less extraneous detail.
The optimized prompt often results in summaries that better capture the main arguments and conclusions of the document.

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