Packing a skill with documentation the model already knows wastes tokens and degrades performance. The author advises measuring baseline model accuracy first, then building a lightweight skill that only covers the 10% of edge cases the model gets wrong, such as recent breaking changes or unusual configuration patterns.
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Summary by ByteBrief
Build Memory-Efficient Transformers with xFormers