brianjkim21

this is sick, thanks for sharing

thanks roanak!

PMs and Execs are pushing devs to do docs classification and extract data from text ("see I can do it on chatGPT!") so they're using Taylor (trytaylor.ai) to build production grade text pipelines ;)

In all seriousness, customer support was the first but the least impactful area for LLMs. Currently, LLMs are primarily used for developer efficiency and for info retrieval.

thanks :) you too!

thanks! primarily classical. we designed an ensemble that considers both lexical & semantic similarity and trained on large datasets of labeled text.

we train our own 'out-of-the-box' models (like the intent classification, IAB, O*NET-SOC, NAICS) or you can create a custom model by just defining what labels you want.