Julio Pereyra
@ItsJulioPereyra
Post-training used to be an investment in a model. With continual learning it becomes an investment in training loops that are efficient and transferable.
Awesome work by @trajectorylabs going back-to-back-to-back on improving @NVIDIAAI models on LAB with new models at Opus
Awesome work by @trajectorylabs going back-to-back-to-back on improving @NVIDIAAI models on LAB with new models at Opus
Trajectory@trajectorylabs · Aug 11Continual learning is a bet that the retraining loop will get cheaper over time. With larger models, you can maybe run this loop once every few weeks. But with smaller models, you can run it nightly, per customer. And it keeps recursing: a model per company, then a model per
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