Comment

Comment by 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.
parent nirga 2 years ago

No comments yet

Be the first to share your thoughts.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton