this post was submitted on 12 Jun 2023
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Science
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PhD student working in reinforcement learning (the branch of machine learning, not the neuroscience kind). Trying to figure out how to make more general agents, and I'm hypothesizing that making things bigger is a key ingredient.
Bigger seems to have helped so far, yeah, with things like GPT3.5 being based m some really massive models iirc? Happy to have you around!