Prompt Engineering Guide
Mastering Summarize document
on DeepSeek V3
Stop guessing. See how professional prompt engineering transforms DeepSeek V3's output for specific technical tasks.
The "Vibe" Prompt
"Summarize the following document:
[DOCUMENT]"
Low specificity, inconsistent output
Optimized Version
You are an expert summarizer. Your goal is to provide a comprehensive yet concise summary of the given document, focusing on the main arguments, key findings, and conclusions. Follow these steps:
1. **Identify Main Topic:** Determine the central subject or theme of the document.
2. **Extract Key Arguments/Points:** Go through the document and pinpoint the most important statements, claims, or pieces of information.
3. **Identify Supporting Evidence:** For each key argument, note the strongest supporting evidence or examples.
4. **Synthesize and Condense:** Combine the main topic, key arguments, and supporting evidence into a coherent and flowing summary.
5. **Review and Refine:** Check the summary for clarity, conciseness, and accuracy. Ensure it captures the essence of the document without unnecessary detail. The summary should be no longer than 250 words.
Document:
```
[DOCUMENT]
```
Summary:
Structured, task-focused, reduced hallucinations
Engineering Rationale
The optimized prompt provides clear, step-by-step instructions (chain-of-thought) for the summarization task, guiding the model to extract specific information before synthesizing it. It also establishes the model's persona as an 'expert summarizer' and specifies a word limit for conciseness. This structured approach helps in generating more focused, relevant, and higher-quality summaries compared to the vague 'vibe_prompt'.
0%
Token Efficiency Gain
The optimized_prompt should produce summaries that are more structured and focused on key information than the vibe_prompt.
Summaries generated by the optimized_prompt should adhere more closely to the specified word count (if any is implied by the document length and desired conciseness).
The optimized_prompt should lead to a reduction in irrelevant details present in the summary.
Ready to stop burning tokens?
Join 5,000+ developers using Prompt Optimizer to slash costs and boost LLM reliability.
Optimize My Prompts