# Judges TRL provides judges to easily compare two completions. Make sure to have installed the required dependencies by running: ```bash pip install trl[llm_judge] ``` ## Using the provided judges TRL provides several judges out of the box. For example, you can use the `HfPairwiseJudge` to compare two completions using a pre-trained model from the Hugging Face model hub: ```python from trl import HfPairwiseJudge judge = HfPairwiseJudge() judge.judge( prompts=["What is the capital of France?", "What is the biggest planet in the solar system?"], completions=[["Paris", "Lyon"], ["Saturn", "Jupiter"]], ) # Outputs: [0, 1] ``` ## Define your own judge To define your own judge, we provide several base classes that you can subclass. For rank-based judges, you need to subclass [`BaseRankJudge`] and implement the [`BaseRankJudge.judge`] method. For pairwise judges, you need to subclass [`BasePairJudge`] and implement the [`BasePairJudge.judge`] method. If you want to define a judge that doesn't fit into these categories, you need to subclass [`BaseJudge`] and implement the [`BaseJudge.judge`] method. As an example, let's define a pairwise judge that prefers shorter completions: ```python from trl import BasePairwiseJudge class PrefersShorterJudge(BasePairwiseJudge): def judge(self, prompts, completions, shuffle_order=False): return [0 if len(completion[0]) > len(completion[1]) else 1 for completion in completions] ``` You can then use this judge as follows: ```python judge = PrefersShorterJudge() judge.judge( prompts=["What is the capital of France?", "What is the biggest planet in the solar system?"], completions=[["Paris", "The capital of France is Paris."], ["Jupiter is the biggest planet in the solar system.", "Jupiter"]], ) # Outputs: [0, 1] ``` ## BaseJudge [[autodoc]] BaseJudge ## BaseRankJudge [[autodoc]] BaseRankJudge ## BasePairwiseJudge [[autodoc]] BasePairwiseJudge ## RandomRankJudge [[autodoc]] RandomRankJudge ## RandomPairwiseJudge [[autodoc]] RandomPairwiseJudge ## HfPairwiseJudge [[autodoc]] HfPairwiseJudge ## OpenAIPairwiseJudge [[autodoc]] OpenAIPairwiseJudge