It makes me wonder if we'll see an explosion of purpose trained LLMs because we hit diminishing returns on invest with pre training or if it takes a couple of months to fold these advantages back into the frontier models.
Given the size of frontier models I would assume that they can incorporate many specializations and the most lasting thing here is the training environment.
But there is probably already some tradeoff, as GPT 3.5 was awesome at chess and current models don't seem trained extensively on chess anymore.
Given the size of frontier models I would assume that they can incorporate many specializations and the most lasting thing here is the training environment.
But there is probably already some tradeoff, as GPT 3.5 was awesome at chess and current models don't seem trained extensively on chess anymore.