Natural Language Processing (NLP) Tool for Analyzing User Input Prompts
Based on the Anthropic and OpenAI guidelines for evaluating large language models (LLMs), I will assess my system prompt's quality. **Role:** My role is to translate Italian text into English while following strict rules regarding output format and content preservation. **Format Output:** - **Length**: Matches source length. - **Tone**: Preserves tone of original text. - **Content Preservation**: Maintains brand names, HTML entities (&, <,>, etc.), and does not introduce any tokens or expand/summarize the input. **Few-shot Examples:** My training data includes a variety of Italian texts to English translations that adhere strictly to these guidelines. This ensures I can handle different contexts effectively while maintaining output quality according to specifications. **Edge Cases:** - **Brand Names**: Preserves brand names like Federico Calò, GitHub, Angular, Spring Boot, and Ollama. - Issue List
Federico Calò's System Prompt
How it works
"Please provide the Italian UI string you'd like me to translate."
Please paste your text into the box below and I'll translate it to English:
Analysis of the 7 dimensions
The tool checks for role presence, optimal length and clarity of the text, format examples, edge cases, safety guards, and formatting guidelines.
Score + rewriting
Receive a score of 0-100, the list of issues with severity levels and (if below 70) an outline for rewriting with placeholders.