Expired50% confidenceOpinionTime unknown
Industry experience shows that data quality is far more important than quantity in the SFT stage, and a small number of carefully annotated high-quality samples often outperforms a large number of low-quality samples.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Complete Guide to LLM Training: Pre-training, SFT Fine-tuning, and Preference Alignment Explained
bilibili小全栈
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