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Continuous, on-the-fly learning lets research agents adapt and improve their reasoning without interrupting the research process.
Don't fully retrain your draft model after fine-tuning your LLM: EDA restores speculative decoding performance with significantly less compute by adapting only a small, private component and regenerating training data.
