The finding on simpler prompts, especially with GPT4 tracks (3.5 requires the opposite). The take on RAG feels application specific. For our use-case where hav

The finding on simpler prompts, especially with GPT4 tracks (3.5 requires the opposite). The take on RAG feels application specific. For our use-case where having details of the past rendered up the ability to generate loose connections is actually a feature. Things like this are what I find excites me most about LLMs, having a way to proxy subjective similarities the way we do when we remember things is one of the benefits of the technology that didn’t really exist before that opens up a new kind of product opportunity.