[navaed01]

Thank you for spending your time on something that is a barrier to AI adoption.

Can you talk about your detection rates? False positives and false negatives. Perhaps you are still figuring this out

I’m not sure why so many folks are being so derisive on this post.

[nirga]

Thanks! It can vary greatly between use cases - but we've seen extremely high detection rates for tagged texts (>95%). When switching to production, this gets trickier since you don't know what you don't know (so it's hard to tell how many "bad examples" we're missing). Our false positive rate (number of examples that were tagged as bad but weren't) has been around 2-3% out of the overall examples tagged as bad (positive) and we always work on decreasing this.