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Interestingly, this desire for secrecy can be contrasted with several recent Chinese publications suggesting a potential replication of these models. These moves reflect an escalating technological arms race surrounding AGI capabilities.
Unpacking Reinforcement Learning and Knowledge Distillation
At the core of these advancements lies reinforcement learning and the concept of knowledge distillation. Reinforcement learning operates through trial, error, and reward mechanisms, akin to training a pet dog, while knowledge distillation involves using the outputs of a more capable “teacher” model to train a smaller, less complex “student” model.