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@ -385,8 +385,9 @@ fine tuning models on
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aider's simple, high level style of unified diffs.
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aider's simple, high level style of unified diffs.
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Dropping line numbers from the hunk headers and focusing on diffs of
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Dropping line numbers from the hunk headers and focusing on diffs of
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semantically coherent chunks of code
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semantically coherent chunks of code
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seems to be an important part of successful GPT code editing.
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seems to be an important part of successful GPT code editing
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(besides the relentless focus on flexibly applying edits).
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Most LLMs will have already seen plenty of unified diffs
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Most LLMs will have already seen plenty of unified diffs
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in their normal training data, and so should be
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in their normal training data, and so should be
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very amenable to fining tuning towards this
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amenable to fining tuning towards this
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particular diff style.
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particular diff style.
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