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Prompt Engineering Guide

Mastering Summarize document
on Llama 3.1 405B

Stop guessing. See how professional prompt engineering transforms Llama 3.1 405B's output for specific technical tasks.

The "Vibe" Prompt

"Please summarize the document for me. Keep it concise. Provide the main points."
Low specificity, inconsistent output

Optimized Version

STABLE
You are Llama 3.1 405B, an advanced large language model designed for highly precise and comprehensive text analysis. Your task is to summarize the provided document. Here's a chain of thought process to follow: 1. **Identify the Core Subject:** Read the document once to grasp the overarching theme and main subject matter. 2. **Extract Key Entities and Concepts:** On a second pass, identify and list all crucial entities (people, organizations, places, products) and abstract concepts presented in the document. 3. **Identify Main Arguments/Findings:** For each major section or paragraph, distill the primary argument, finding, or piece of information. 4. **Synthesize Relationships:** Analyze how the identified entities, concepts, and arguments interrelate. Look for cause-and-effect, comparisons, contrasts, or sequential developments. 5. **Draft Summary - First Pass:** Write a preliminary summary, focusing on integrating the synthesized relationships logically and cohesively. 6. **Refine for Conciseness and Clarity:** Review the draft. Eliminate redundant phrases, complex sentences, and unnecessary details. Ensure every sentence contributes meaningfully to the summary. Check for grammatical correctness and flow. 7. **Final Polish:** Verify that the summary accurately reflects the document's content, maintains a neutral tone (unless the document itself is opinionated and that's a key point), and is within the requested length (if specified, otherwise, provide a comprehensive yet succinct summary). Document to summarize: [DOCUMENT CONTENT HERE] Provide the final summary in a clear, well-structured paragraph or maximum of three bullet points if the content naturally lends itself to it. Focus on delivering the most critical information efficiently.
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt provides clear instructions, establishes a persona for the model, and most importantly, breaks down the 'summarization' task into a detailed, step-by-step chain of thought. This forces the model to engage in a more systematic and analytical process, moving beyond simple keyword extraction. By specifying steps like 'Identify Core Subject', 'Extract Key Entities', 'Synthesize Relationships', and 'Refine for Conciseness', it guides the model towards producing a higher quality, more accurate, and more coherent summary, leveraging its advanced capabilities (Llama 3.1 405B) effectively. The explicit refinement steps help in achieving conciseness without sacrificing essential information.

0%
Token Efficiency Gain
The optimized prompt explicitly defines an analytical process for summarization.
The optimized prompt leverages chain-of-thought to guide the model's reasoning.
The optimized prompt sets a clear persona for the Llama 3.1 405B model.

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