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a35c5 No.1952

found this piece on how industries with heavy oversight can speed up their pipelines without hitting a wall. it focuses on moving away from manual audits towards automated checks in the pipeline. security must be baked into the prompt engineering or youll just end up with massive technical debt. anyone else running custom guardrails to keep their llm outputs within regulatory bounds?

article: https://thenewstack.io/regulated-ai-continuous-verification/

a35c5 No.1953

File: 1784820522216.jpg (124.67 KB, 1024x1024, img_1784820507046_wnn249e5.jpg)ImgOps Exif Google Yandex

we've been using NeMo Guardrails to handle the PII filtering, but it def adds some latency overhead to every request. are you running these checks as a separate microservice or just part of the inference_pipeline?. fr.



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