Prompt Engineering Guide
Mastering Analyze sentiment
on Groq Llama 3.1 70B
Stop guessing. See how professional prompt engineering transforms Groq Llama 3.1 70B's output for specific technical tasks.
The "Vibe" Prompt
"What's the sentiment of this text: "I absolutely love this new phone! It's so fast and the camera is incredible. Highly recommend it.""
Low specificity, inconsistent output
Optimized Version
You are a sentiment analysis AI. Your goal is to accurately identify the sentiment of the provided text as 'Positive', 'Negative', or 'Neutral'.
Text: "I absolutely love this new phone! It's so fast and the camera is incredible. Highly recommend it."
Thought Process:
1. Identify key sentiment-bearing words or phrases.
2. Determine the overall emotional tone conveyed by these words.
3. Classify the sentiment based on the identified tone.
Sentiment:
Structured, task-focused, reduced hallucinations
Engineering Rationale
The optimized prompt provides clear instructions, defines the task, and explicitly lists the allowed output categories ('Positive', 'Negative', 'Neutral'). The Chain-of-Thought (CoT) section ('Thought Process') guides the model to break down the task, leading to more structured and accurate reasoning. This structured approach helps Llama 3.1 70B produce more reliable results, especially for ambiguous cases, by explicitly asking it to show its reasoning.
0%
Token Efficiency Gain
The optimized prompt explicitly defines the output categories (Positive, Negative, Neutral).
The optimized prompt includes a 'Thought Process' section for Chain-of-Thought reasoning.
The optimized prompt clearly states the AI's role ('You are a sentiment analysis AI.').
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