LLMs are secretly good at regression calculations

“Figure 7: The cumulative regret of two large language models on two different non-linear regression dataset. Both show a sub-linear regret grow, indicating that as more data points are observed, the models become increasingly efficient at predicting outcomes closer to the optimal strategy derived in hindsight.”

Can an AI system designed for language also excel at math? One of this week’s hottest new studies suggests the answer is yes.

This finding could upend our basic assumptions about AI - namely, …

ai ai system become data datascience dataset figure good language language models large language large language models linear linear regression llms machinelearning non-linear regression show strategy