Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a sequence as a reasoning problem solved using ...
Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
What if the key to unlocking the next era of artificial intelligence wasn’t building bigger, more powerful models, but teaching smaller ones to think smarter? Sakana AI’s new “Reinforcement Learned ...
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