Users praise Stanford's TRACE method of training four tiny targeted adapters to beat GPT-4 on coding benchmarks because the focused approach seems more reliable than full-model training.
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@IntuitMachine 只练短板这比全量硬莽靠谱多了
Users praise Stanford's TRACE method of training four tiny targeted adapters to beat GPT-4 on coding benchmarks because the focused approach seems more reliable than full-model training.
Based on 1 visible X reactions from 1 accounts; directional sample.
Ask a question below.
Published answers will appear here.