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Update docs github.com/paul-gauthier -> github.com/Aider-AI
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@ -150,7 +150,7 @@ The model also has to successfully apply all its changes to the source file with
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## Code refactoring leaderboard
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[Aider's refactoring benchmark](https://github.com/paul-gauthier/refactor-benchmark) asks the LLM to refactor 89 large methods from large python classes. This is a more challenging benchmark, which tests the model's ability to output long chunks of code without skipping sections or making mistakes. It was developed to provoke and measure [GPT-4 Turbo's "lazy coding" habit](/2023/12/21/unified-diffs.html).
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[Aider's refactoring benchmark](https://github.com/Aider-AI/refactor-benchmark) asks the LLM to refactor 89 large methods from large python classes. This is a more challenging benchmark, which tests the model's ability to output long chunks of code without skipping sections or making mistakes. It was developed to provoke and measure [GPT-4 Turbo's "lazy coding" habit](/2023/12/21/unified-diffs.html).
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The refactoring benchmark requires a large context window to
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work with large source files.
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@ -291,10 +291,10 @@ since it is the easiest format for an LLM to use.
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Contributions of benchmark results are welcome!
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See the
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[benchmark README](https://github.com/paul-gauthier/aider/blob/main/benchmark/README.md)
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[benchmark README](https://github.com/Aider-AI/aider/blob/main/benchmark/README.md)
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for information on running aider's code editing benchmarks.
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Submit results by opening a PR with edits to the
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[benchmark results data files](https://github.com/paul-gauthier/aider/blob/main/aider/website/_data/).
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[benchmark results data files](https://github.com/Aider-AI/aider/blob/main/aider/website/_data/).
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<p class="post-date">
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