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Synthetic semantic supervision allows small transformers to outperform larger models in code representation tasks, offering a scalable alternative to traditional methods.
Get 74% of GPT-4 performance for just 24% of the cost by predicting when a cheaper, faster model is about to fail and seamlessly "hotswapping" the task to a more powerful one.
