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Paul Gauthier 2023-12-19 20:42:04 -06:00
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@ -385,8 +385,9 @@ fine tuning models on
aider's simple, high level style of unified diffs.
Dropping line numbers from the hunk headers and focusing on diffs of
semantically coherent chunks of code
seems to be an important part of successful GPT code editing.
seems to be an important part of successful GPT code editing
(besides the relentless focus on flexibly applying edits).
Most LLMs will have already seen plenty of unified diffs
in their normal training data, and so should be
very amenable to fining tuning towards this
amenable to fining tuning towards this
particular diff style.