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Comparing the performance of several models with several prompts based on their responses

Python 90.07% Jupyter Notebook 9.93%
articles laws openai pandas prompts python

lawrence-lab's Introduction

LAWrence-lab

Comparing the performance of several models with several prompts based on their responses.

Setup

touch .env

Add the following creds inside .env file.

OPENAI_API_KEY=

Install dependencies:

pip install -r requirements.txt

Important NOTE

Every prompt should mention only this response format explicitly

{
    "articles": [
        {"article_ref": "CO ART. 337"},
        {"article_ref": "OR ART. 12a Abs. 2"}
    ]
}

Run

For mean performances: (output will be saved as Output_Performance.xlsx)

python evaluatePR.py START_ROW END_ROW

Example Usage:

python evaluatePR.py 1 3

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