@Teknium: Interesting insights, especially this: Hermes starts off as any other agent does, inefficient and often not sure how to…
Summary
Teknium observes that the Hermes agent initially behaves inefficiently but gains large efficiency boosts after solving a task once, likening it to "linearized RL."
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Cached at: 04/21/26, 05:13 PM
Interesting insights, especially this: Hermes starts off as any other agent does, inefficient and often not sure how to complete a task that is training didnt have priors for. However, solve it once and you unlock huge efficiency gains. I sometimes call this linearized RL,
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