Non-Vacuous Generalization Bounds for Large Language Models — mentioned by jason_oster

Tue, 17 Feb 2026 01:50:19 GMT

The goal of training data is not to collect and reproduce facts. It is to align the model with the statistical probability of producing the correct (expected) response for data outside of its knowledge domain. This is called generalization [1], and it has been explored in depth. [1]: https://arxiv.org/abs/2312.17173

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Non-Vacuous Generalization Bounds for Large Language Models — mentioned by jason_oster