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Precomputed memory in language models can degrade significantly unless rebuilt frequently and updated with specifically phrased corrections.
A single training example can boost model performance, but its impact fades significantly within just a few training steps.
Refined guidance boosts coding agent performance by 33%, highlighting that coverage trumps precision in navigating complex repositories.