Unverified50% confidenceTradeoffExact time
使用自研模型可让Cursor避免向上游支付第三方API推理成本，并积累代码交互数据用于模型训练
1
Sources
50%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
Related Claims
UnverifiedThe training set is used to fit model parameters, the validation set is used to tune hyperparameters and prevent overfitting, and the test set is used for an unbiased estimate of the model's generalization ability; the three must be strictly independent.72% similarUnverifiedOff-policy algorithms (such as SAC and DQN) can be trained on data collected by any policy, are capable of maintaining a replay buffer of millions of experiences for repeated learning, and have higher sample efficiency than on-policy methods.71% similarUnverifiedAlignment training optimizes the model's statistical behavior in known scenarios rather than establishing formally verifiable security boundaries, and may fail when faced with rare instruction combinations or role-playing frameworks outside the training distribution.71% similar
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