In-Cell Learning: Language Models That Update Their Own Weights in Sequence Without Changing the File They Ship
In-cell learning is introduced, a paradigm for writing new knowledge only within these cells, so that re-quantizing the served weights reproduces the released integer codes and scales exactly.
Zifeng Liu, Yaxin Lu, Xuanhan Wu et al.
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