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Prompt Engineering Guide

Mastering Summarize document
on Cerebras Llama 3.1 70B

Stop guessing. See how professional prompt engineering transforms Cerebras Llama 3.1 70B'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 and accurate summary of the given document, focusing on its main points and key information. Follow these steps: 1. **Identify the Core Subject:** What is the document primarily about? 2. **Extract Key Arguments/Findings:** What are the most important statements, results, or conclusions presented? 3. **Note Supporting Details (if crucial):** Are there any specific examples, data, or evidence that are essential to understanding the main points? 4. **Synthesize:** Combine the identified core subject, key arguments, and crucial supporting details into a coherent and brief summary. 5. **Review:** Ensure the summary is accurate, complete without being verbose, and easy to understand. Now, summarize the following document, providing your step-by-step thought process before presenting the final summary: [DOCUMENT] **Thought Process:**
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt leverages chain-of-thought (CoT) reasoning, breaking down the complex task of summarization into smaller, manageable steps. This guides the model through a structured thinking process, leading to more accurate, comprehensive, and well-organized summaries. By explicitly asking for the 'Thought Process', it encourages the model to generate intermediate reasoning, which can improve the final output. The role assignment ('expert summarizer') also primes the model for a high-quality response. This structure helps Cerebras Llama 3.1 70B produce better results by mimicking human cognitive steps.

0%
Token Efficiency Gain
The optimized prompt significantly improves summary quality, especially for complex or lengthy documents, by ensuring all key aspects are considered.
The optimized prompt consistently produces more structured and coherent summaries compared to the naive version.
The 'Thought Process' section in the optimized prompt allows for introspection and debugging of the summary generation, which can be useful during model development and refinement.

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