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What open-source AI models should your enterprise use? Endor Labs analyzes them all
The new tool tells developers how popular and secure open-source, pre-built models are and how recently they were created and updated.
AI development is akin to the early wild west days of open source — models are being built on top of each other, cobbled together with different elements from different places. Endor Labs’ new platform uses 50 out-of-the-box metrics that score models on Hugging Face based on security, activity, quality and popularity. Endor —which specializes in securing open-source dependencies — developed the four scoring categories based on Hugging Face data and literature on known attacks.
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