Comment by ludwik
21 hours ago
And also "instilled during their reinforcement training", and we are currently pushing planning hard there, for autonomous agents.
21 hours ago
And also "instilled during their reinforcement training", and we are currently pushing planning hard there, for autonomous agents.
No I think reinforcement training would be an example of not innate. Don't you? That's like potty training.
Is it? Both supervised learning and reinforcement learning are ways of training the model, and the difference between them is not that big. I would say that innate means "in the weights", while non-innate means things the model learned during inference, during its "lifetime".