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README.md
README.md
 
 
hypothesis-testing.ipynb
hypothesis-testing.ipynb
 
 
pref_data.csv
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pref_data.json
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reward_modeling.py
reward_modeling.py
 
 

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personal-content-ranker

Draft design doc (Feedback appreciated)

Steps to train a ranker

  1. Create preference data by running the colab
  2. Start reward model training using accelerate launch reward_modeling.py

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