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Decision models like Jev don't beat LLM-as-a-judge or traditional classifiers

96 points · 34 comments · tomncooper

  1. bjord · · focus · HN ↗
    am I missing something or is there an incredible amount of title editorialization here? on the page itself (and within the slug), the title is:

    "Benchmarking AI decision models against traditional guardrails"

    1. kwinkunks · · focus · HN ↗
      Agree. In fact Jev does reasonably well in both tests. In the article, the assertion is hedged, and followed up with a sentiment I liked:

      > decision models like Jev do not reliably outperform [other] models in speed or accuracy. However, they rightly refocus industry attention on lightweight, task-specific inference paradigm that more closely resembles predictive machine learning

      (I also noticed some issues with bolding in Table 4 that downplay Jev's performance a little.)

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