GPT-3 can learn to express well-calibrated uncertainty about its answers using natural language phrases rather than logits.
B.3 Supervised fine-tuning The supervised fine-tuning dataset consists of approximately 10k examples, where 100 examples are sampled from each sub-task in the training set
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Teaching Models to Express Their Uncertainty in Words
GPT-3 can learn to express well-calibrated uncertainty about its answers using natural language phrases rather than logits.