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LLMs can beat traditional time-series models by orchestrating specialized agents in a dynamic workflow, iteratively refining forecasts with memory and ensemble methods.
LLMs for e-commerce search can now be trained and evaluated on a massive, realistic dataset spanning the entire search pipeline, unlike existing datasets with anonymized data and limited scope.
