8.
q0: Scaling multi-epoch pretraining when data runs out
Q trains a diverse population of models and aggregates predictions to keep improving across hundreds of epochs instead of saturating a single model
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76.
2/ Paper: (t.co)
2/ Paper: https:// arxiv.org/abs/2606.03938 q0 is built on one intuition, motivated by Solomonoff induction: instead of training one perfect model, train a population of diverse models and aggregate predictions. Everything in the algorith