TLDR Tech / Practical
Evaluating AI for Email Security Classification
Abnormal evaluated 40 AI models, including decision models and large language models, using a synthetic email security dataset to assess their performance, expense, and calibration. The analysis revealed that decision APIs, such as TypeSafe's Jev and OpenAI's Decisions API, offer a strong balance of cost and effectiveness. Furthermore, refining a compact open-source model like kev-4b significantly boosted recall while maintaining high precision. However, deploying these solutions widely faces practical challenges related to data residency, actual operational expenses, and GPU availability.
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