用本地模型可降 API 成本,但会增加本机资源消耗
self.published = published
,详情可参考91视频
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This started with Addition Under Pressure, where I gave Claude Code and Codex the same prompt: train the smallest possible transformer that can do 10-digit addition with at least 99% accuracy. Claude Code came back with 6,080 parameters and Codex came back with 1,644. The community has since pushed this dramatically lower.,更多细节参见Line官方版本下载