Wu Shixiong's Large Model Academy
Feb 3, 2026 · Artificial Intelligence
Why Loss Masking Is the Hidden Key to Effective LLM Fine‑Tuning
The article explains how loss masking in supervised fine‑tuning of large language models prevents the model from learning irrelevant tokens such as user inputs, system prompts, tool outputs, and padding, thereby focusing training on the assistant’s responses and improving performance and generalization.
AI trainingFine-tuningLLM
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