2.3 KiB
2.3 KiB
Majority Vote Reasoning
This project demonstrates a majority vote implementation that enables LLMs to solve complex reasoning problems by aggregating multiple independent attempts. It's designed to improve problem-solving accuracy through consensus-based reasoning.
Features
- Improves model reliability on complex problems through multiple attempts
- Works with models like Claude 3.7 Sonnet
- Solves problems that single attempts often fail on
- Provides detailed reasoning traces for verification
- Uses a consensus approach to reduce the impact of occasional reasoning errors
Getting Started
- Install the required packages:
pip install -r requirements.txt
- Set up your API key:
export ANTHROPIC_API_KEY="your-api-key-here"
- Run a test problem to see majority voting in action:
python main.py
How It Works
The implementation uses a MajorityVoteNode that processes multiple attempts and finds consensus:
flowchart LR
mv[MajorityVoteNode]
The MajorityVoteNode:
- Makes multiple independent attempts to solve the same problem
- Collects structured answers from each attempt
- Determines the most frequent answer as the final solution
- Returns the consensus answer
This approach helps overcome occasional reasoning errors that might occur in individual attempts.
Example Output
Below is an example of how the majority vote approach uses Claude 3.7 Sonnet to solve this complex problem:
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Saved translation to translations/README_CHINESE.md
Saved translation to translations/README_SPANISH.md
Saved translation to translations/README_JAPANESE.md
Saved translation to translations/README_GERMAN.md
Saved translation to translations/README_RUSSIAN.md
Saved translation to translations/README_PORTUGUESE.md
Saved translation to translations/README_FRENCH.md
Saved translation to translations/README_KOREAN.md
=== Translation Complete ===
Translations saved to: translations
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