Why every AI pipeline needs a "Mask" layer (and how to build one in 5 mins)

Most "AI Safety" is just vibes. But if you’re working in fintech, health, or any regulated industry, "vibes" don't pass an audit.

I’m part of the team at ARPA, and we just went public with micro-f1-mask. It’s a lightweight model designed to sit at the edge of your stack.

The Use Case: Before your user's prompt hits GPT-4 or Claude, micro-f1-mask identifies and redacts sensitive data based on your internal privacy framework.

Why this one?

• Not a black box: We gave you the scripts to fine-tune it for your specific legal requirements.
• Micro-footprint: Run it as a sidecar container without killing your latency.
• F1 Optimized: Because in compliance, missing one piece of PII is a disaster.

Quick start here: https://github.com/ARPAHLS/micro-f1-mask