Prompt Engineering Guide
Mastering Analyze sentiment
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
"What's the sentiment of this text?"
Low specificity, inconsistent output
Optimized Version
Your task is to analyze the sentiment of the provided text. Follow these steps:
1. Read the text carefully and identify key words, phrases, and overall tone.
2. Determine if the sentiment is Positive, Negative, or Neutral.
3. Provide a concise explanation for your classification, referencing specific elements from the text.
Text: "The service was incredibly slow and the food was utterly bland, a truly disappointing experience."
Structured, task-focused, reduced hallucinations
Engineering Rationale
The 'optimized_prompt' leverages chain-of-thought by breaking down the task into sequential steps, which guides the model through a logical reasoning process. It explicitly asks for justification, ensuring a more robust and verifiable output. Providing a detailed example further clarifies expectations for Llama 3.1 405B, reducing ambiguity and leading to more consistent and accurate sentiment analysis. The 'vibe_prompt' is too vague and offers no guidance, potentially leading to varied and less reliable responses.
0%
Token Efficiency Gain
The optimized prompt clearly defines the sentiment categories: Positive, Negative, Neutral.
The optimized prompt asks for a justification, improving explainability.
The optimized prompt includes an example, demonstrating the desired output format and reasoning.
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