Find out how to get near-perfect LLM efficiency even with ambiguous consumer inputs
You’ll be able to’t be extra improper than assuming the consumer would ask the LLM the proper questions. Moderately than straight executing, what if we refine the consumer’s drawback? That is question translation.
We constructed an app that lets customers question by all of the paperwork my firm ever produced. These embody PPTs, venture proposals, progress updates, deliverables, documentation, and many others. It was outstanding as a result of many such makes an attempt prior to now fell quick. Due to RAGs, this time, it was very promising.
We did a demo, and everybody was excited to make use of it. The preliminary rollout was for a small, chosen batch of workers. However what we seen wasn’t very thrilling to us.
This was anticipated to be a game-changer in the best way we work. However most customers tried the app just a few occasions and by no means used it later. They give up the app as if it have been a toy venture for varsity youngsters.