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ScholarEvolve uses published research to improve AI agents, raising Qwen's AppWorld task completion from 69% to 81.4% without retraining the model.
A local language model is one whose actual weights, the enormous file of learned numbers that constitutes the trained model, you download and run entirely on your own hardware.