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SkillSmith achieves unprecedented performance gains by seamlessly merging textual knowledge with parametric skills, outperforming traditional methods that treat these domains separately.
Achieve zero global downtime in large-scale pre-training, even with millions of simulated chip failures, by decoupling learners and asynchronously aggregating parameter updates.
