Ethan Mollick@emollick · XAI 摘要
我认为你应该对不太重要的任务使用较小模型的假设是有缺陷的（或者至少值得更仔细地考虑）。大模型通常在所有方面都更好，除了成本，因此值得考虑在非关键任务上的收益是否有价值。
I think the assumption that you should use smaller models for less important tasks is flawed （or at least deserves much more careful consideration）. Big models are generally better at everything but cost， so it is worth considering whether gains in non-key tasks would be valuable