@"IOSurfaceBytesPerRow": @(4096), // 1024 * 4
这里多说一点：这么长时间用下来，区分说话人的转录结果对于 LLM 的总结和校对肯定是有帮助的，但帮助比较有限，因为 LLM 本身就可以结合上下文来推断这句话是谁说的，可能小有错误但不影响全局。区分说话人更多还是提升我们自己的阅读体验，看起来会更舒服一些。
。业内人士推荐同城约会作为进阶阅读
+ if matchTable[state]: print "confirmed: a match {rel[state]} characters ago"。Line官方版本下载是该领域的重要参考
I'm not saying any of this through any sort of Apple-loving bias. I typically use a MacBook Pro for work, but I'm a Windows user at heart. Windows was my gateway to computing in the '90s, back when Macs were far more expensive than PCs. These days, I spend more time on my Windows desktop making podcasts, playing PC games and bumming around the internet than I do working on Macs.
functions that generate Pydantic models at runtime based on whatever