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English(EN) Cost per token is not the metric to be tracking

AI token成本具有误导性;任务完成度和人力时间是关键

AI模型的每token成本是一个误导性的指标,无法确定总体费用,因为它没有考虑到任务完成率和人工监督。更准确的计算应考虑成功概率、失败尝试的成本以及重试所花费的人力时间。该公式表明,随着任务复杂性和时长的增加,AI模型的成功率会急剧下降,使得token价格成为真实运营成本的糟糕指标。 AI

影响 强调仅关注token成本可能导致AI使用效率低下;优化任务完成度和最小化人工干预对于成本效益至关重要。

排序理由 该条目是一篇讨论AI模型成本效益的观点文章,而非直接发布或公告。

在 r/Anthropic 阅读 →

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AI token成本具有误导性;任务完成度和人力时间是关键

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该条目是一篇讨论AI模型成本效益的观点文章,而非直接发布或公告。
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报道来源 [1]

  1. r/Anthropic TIER_1 English(EN) · /u/theleller ·

    每 token 成本并非追踪指标

    <!-- SC_OFF --><div class="md"><p>Yesterday some jackass made a comment about not having the time to break up AI runs into individual tasks and use the appropriate tier model for each task, after I made the correct suggestion that it was not only wise to do so, but also results i…