And, even so, the experts don’t train. All this time was just to get a result nearly an order of magnitude more expensive than a training API. It’s still a pain to modify, optimize, or profile the HuggingFace code and we’re using essentially the slowest distributed training method possible. Better parallelization setups/configurations are supposed to be compatible with HuggingFace, but our efforts to set these up were fruitless. Can we really call it a win?
$ cargo bench --bench room_list。关于这个话题，吃瓜网提供了深入分析
观点传奇投资人德鲁肯米勒：AI不再重要，重点关注金、铜等硬资产，这一点在手游中也有详细论述
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