Cisco 实测 Jev 对比专用分类器

DJ Sampath @djsampath原推发布于 2026.10.06

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Here at @CiscoAI we tested TypeSafe's Jev against a traditional, purpose-built classifier just so we understand these new class of models better. What we learned was: 1. Policy-specific training still delivers the best recall at strict false-positive budgets. 2. Jev holds up surprisingly well when zero-shot, landing close to a 31B-parameter LLM judge. TLDR: These aren’t competitors so much as complements. Use the classifier model for large volume of known categories, and a decision model for new or shifting categories. Read more here: https://blogs.cisco.com/ai/jev-decision-models-on-trial