Fun Hypothesis
Test whether different prompt framings affect LLM output quality.
Hypothesis
LLM output quality varies based on how prompts are framed. This tool tests that hypothesis with rigorous double-blind methodology.
Quick Start
pip install fun-hypothesis
# Run with default "fun" framing
fun-hypothesis --prompt "Explain quantum computing"
# Try different framings
fun-hypothesis --prompt "Explain quantum computing" --framing pirate
fun-hypothesis --prompt "Explain quantum computing" --framing expert
fun-hypothesis --prompt "Explain quantum computing" --framing eli5
Built-in Framings
| Framing | Description |
|---|---|
fun |
Make it engaging and playful |
pirate |
Like a pirate |
expert |
As a senior expert |
eli5 |
Explain like I'm 5 |
formal |
Very formal and professional |
socratic |
As questions to explore |
Methodology
- Session A: Send raw prompt to LLM, collect response
- Session B: Have LLM transform prompt with framing
- Session C: Send framed prompt to LLM, collect response
- Session D: Judge panel evaluates Response A (blind)
- Session E: Judge panel evaluates Response C (blind)
- Compare scores, iterate, aggregate, analyze
All sessions are independent (no context leakage). Judging is double-blind.
Requirements
- Python 3.10+
- Anthropic API key (
ANTHROPIC_API_KEYenvironment variable)
Documentation
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for fun-hypothesis 0.1.1
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