5 Matching Annotations
  1. Last 7 days
    1. Because Deep Extract is doing more work, it takes longer than a standard extraction call. That said, measured against the real alternative of someone manually reviewing a 500-page fund statement field by field, it's faster, cheaper, and consistent at scale.

      大多数人认为更复杂的处理流程必然意味着更高的成本和更慢的速度。但作者提出Deep Extract虽然执行更多工作且比标准提取调用更耗时,但在大规模应用中仍然比人工审查更快、更便宜、更一致,这一观点挑战了人们对于复杂性与效率之间关系的传统理解。

    1. The most encouraging finding is that one doesn't need an infinite budget. We found that by optimizing the ratings-per-item ratio correctly... one can achieve highly reproducible results with a modest budget of around 1,000 total annotations.

      大多数人认为高质量的AI评估需要大量预算和大量数据,但作者证明通过优化评估者与项目的比例,即使使用适度的总标注量(约1000个)也能实现高度可复现的结果。这一发现挑战了'越多越好'的普遍观念,为资源有限的研究团队提供了实用的评估路径。

    1. By using SAM, the Alta team has been able to process more than 20 million images without incurring exorbitant costs, allowing them to focus on building the best possible product for their users.

      大多数人可能认为初创公司需要依赖昂贵的第三方API来处理大量图像,但作者通过使用开源SAM模型,实现了大规模图像处理而不产生巨额成本。这一观点挑战了'高质量AI服务必须昂贵'的行业共识,展示了开源模型在成本效益方面的优势。

  2. Mar 2024
    1. It is there-fore to be expected that the initial cost of the card system is nota fair criterion of its cost when in working order.

      Setting up and learning a note taking or card index system has a reasonably large up-front cost, but learning it well and being able to rely on it over long periods of time will eventually reap larger and cheaper long-term outcomes and benefits.

      Unless changing systems creates dramatically larger improvements, the cost of change will surely swamp the benefits making the switch useless. This advice given by Kaiser is still as true today as it was in 1908, we tend not to think about the efficiency as much now as he may have then however and fall trap to shiny object syndrome.

  3. Sep 2019