Unverified50% confidenceFactExact time
CLM uses a three-stage training process: in the first stage, 60 million question-answer pairs from NVIDIA Nemotron data are used to learn general knowledge; in the second stage, Gemini is used to generate 30 million hard negative samples; in the third stage, approximately 1 million real agent trajectories are used with 40% of the original question-answer data backfilled as replay.
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10/4/2026
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