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The 2023 Microsoft Research paper 'LIMA: Less Is More for Alignment' showed that using only 1,000 carefully curated high-quality samples can enable a base model to exhibit conversational capabilities comparable to fine-tuning on tens of thousands of samples.
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9/11/2026
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Partially VerifiedThe quality of fine-tuning data is far more important than quantity; typically, a few hundred to a few thousand high-quality annotated data samples can significantly improve a model's performance on a specific task.66% similarUnverified该测试样本规模相对有限（5个模型、13个代码库），结论有待更大规模验证65% similarUnverifiedAlthough full-modal large models support voice input and output, their scores on agent benchmarks are far lower than those of mainstream reasoning models.65% similar
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