3 Matching Annotations
  1. Last 7 days
    1. We benefit as frontier AI models improve, but when they fall short or become too costly, we train our own.

      【局限】作者承认了对前沿AI模型的依赖及其局限性,表明当外部模型不足或成本过高时,他们会自行训练模型。这一坦诚的局限性说明,即使是最先进的AI模型也可能无法满足特定科学领域的需求,需要定制化解决方案。然而,文章未详细说明自行训练模型的成本效益分析或与使用外部模型的比较。

  2. May 2026
    1. Taking something off the shelf is maybe not going to work because there are all of these other requirements.

      大多数人认为企业应该采用现成的AI代理系统以加速实施,但作者认为企业需要构建内部标准化框架,这挑战了当前AI市场对'开箱即用'解决方案的主流推崇。这一观点暗示AI代理可能需要更加定制化的企业级解决方案,而非通用产品。

  3. Aug 2024
    1. the future future for education and this is a mega Trend that will last in the next decades is that we use artificial intelligence to tailor um educational let's say or didactic Concepts to the specific person so let's say in in the future everybody will have his or her specific let's say training or education profile he or she will run through and artificial intelligence um will will tailor the different educational environments for everybody in the future this is this is a pre this is a pretty clear Trend

      for - AI and education - children will have custom tailored education program via AI