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Add documentation for PR-Agent code fine-tuning benchmark and update mkdocs.yml
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@ -57,7 +57,7 @@ Our training dataset comprises 25,000 pull requests, aggregated from permissive
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On the raw data collected, we employed various automatic and manual cleaning techniques to ensure the outputs were of the highest quality, and suitable for instruct-tuning.
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On the raw data collected, we employed various automatic and manual cleaning techniques to ensure the outputs were of the highest quality, and suitable for instruct-tuning.
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Here are the prompts, and example outputs, used to fine-tune the models:
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Here are the prompts, and example outputs, used as input-output paris to fine-tune the models:
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| Tool | Prompt | Example output |
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| Tool | Prompt | Example output |
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|----------|------------------------------------------------------------------------------------------------------------|----------------|
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|----------|------------------------------------------------------------------------------------------------------------|----------------|
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