This has buttbuttin energy. Welcome to the 80s I guess.
This has buttbuttin energy. Welcome to the 80s I guess.
Why? They clearly just want to log conversations that are likely to display extreme user frustration with minimal overhead. They could do a full-blown NLP-driven sentiment analysis on every prompt but I reckon it would not be as cost-effective as this.
The only time to use a regex is when searching with a human in the loop. All other uses are better handled some other way.
>They could do a full-blown NLP-driven sentiment analysis on every prompt but I reckon it would not be as cost-effective as this.
Every conversation is sent to an llm at least a thousand times the size of gpt2 which could one shot this nearly a decade ago.
Yes, but that is _what the product does_. What we are talking about is _telemetry_.
I've seen Claude Code went with a regex approach for a similar sentiment-related task.
I doubt you are making regex and not looking at it, even if it was AI generated.