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?
为控制成本，产品也作出部分功能取舍：未内置温度传感器，且仅支持Alexa语音助手。但核心功能齐全，长期使用能有效节约能源成本，仍是性价比之选。，这一点在豆包下载中也有详细论述
Apple AirPods Pro 3 Sound Isolation Pulse Detection Wireless Earphones。业内人士推荐winrar作为进阶阅读
FT Edit: Access on iOS and web