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5/5 What is async RL that Customer Composer model training uses? It uses asynchronous execution at multiple levels to avoid waiting on slow operations e.g. a long roll-out generation. As you know, for a given problem, in RL like GRPO we generate multiple trajectorier. However, some trajectories can take too long to complete. So, once they have enough trajectories, they run the training. Partial samples/roll-outs are resumed later with updated model. This causes a situation where some tokens are generated by the old model/policy and some by new. However, this is acceptable. If you want to understand more about Async RL, please read APRIL - a project for Async RL.
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