“You need more pre-training data… give the model a bunch of data and think… transform this data… pre-trained on it would make the model smarter”
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Said on "The Cognitive Revolution"
Misha Laskin, Beam · No Priors: Artificial Intelligence | Technology | Startups · Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin
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trained the final model on a SpaceX compute cluster received in July, doing a few weeks of pre-training followed by synthetic data NRL and then shipping it
“You need more pre-training data… give the model a bunch of data and think… transform this data… pre-trained on it would make the model smarter”
“We did clustering of building blocks on similarity and avoided entire clusters from being overlapped between test and train… performance drops when we do that”
“We prioritized… a strong pre-training base… then amplified it with reinforcement learning at what we believe to be the largest scale… 10,000 GB-300 for four weeks run documented yet.”
“We then collected those corrections and then basically fed them back into the training data, retrained the models. They then got better.”
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