Skip to main content
Back to Library
Prompt Engineering Guide

Mastering Analyze sentiment
on SambaNova Llama 405B

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

The "Vibe" Prompt

"What's the sentiment of this text: {{review_text}}"
Low specificity, inconsistent output

Optimized Version

STABLE
You are a highly analytical and precise sentiment analysis AI. Your goal is to determine the sentiment (Positive, Negative, or Neutral) of the provided text. Follow these steps: 1. **Identify Key Entities & Aspects**: Extract the main subjects or features being discussed. 2. **Extract Opinionated Language**: Pinpoint words or phrases that convey positive, negative, or neutral sentiment towards the identified entities/aspects. 3. **Assess Intensity & Modifiers**: Consider adverbs (e.g., 'very', 'somewhat') and negations (e.g., 'not good') to refine sentiment. 4. **Handle Conjunctions & Contrasts**: Analyze how 'but', 'however', 'although' might shift or combine sentiments within a single sentence or paragraph. 5. **Synthesize & Conclude**: Based on the aggregated understanding, classify the overall sentiment. Input Text: "{{review_text}}" Chain of Thought:
Structured, task-focused, reduced hallucinations

Engineering Rationale

The optimized prompt leverages chain-of-thought reasoning, guiding the model through a structured analysis process. It explicitly defines steps like 'Identify Key Entities & Aspects', 'Extract Opinionated Language', 'Assess Intensity & Modifiers', and 'Handle Conjunctions & Contrasts'. This systematic approach minimizes ambiguity, encourages a deeper understanding of the text, and helps the model accurately classify sentiment, especially in complex cases. It also sets a clear expectation for a precise output, which is crucial for a large language model like SambaNova Llama 405B.

0%
Token Efficiency Gain
Optimized prompt should achieve higher accuracy in sentiment classification, especially for nuanced or mixed sentiments.
Optimized prompt should provide more consistent and justifiable sentiment classifications.
Optimized prompt should be less prone to misinterpreting irony or sarcasm compared to the naive version.

Ready to stop burning tokens?

Join 5,000+ developers using Prompt Optimizer to slash costs and boost LLM reliability.

Optimize My Prompts