Contextual AI

“You don't have to fine tune your model. It feels very intuitive. We have this great data set. We own it. It's our data. So we need to do something useful with it. So we need to fine tune our own language model. And so the companies who are offering that servic…”

“We think language models are great first generation technology, but they're not quite ready. We see a lot of frustration in the market around that.”

“Very often they think they can do it in house. And so I think that belief is probably going to go away in the next couple of years where people realize that this stuff is a little bit more difficult than they, Initially thought.”

“I think if you look at the landscape of use cases that we see right now, there are roughly three big buckets. So one is around information discovery and information synthesis... Then there's a lot of hierarchical summarization use cases... And then there's a l…”

“And so we think that's not what we now call a language model. So it's not one big parametric monster. It's something a bit more elegant that has the retrieval kind of built in. It's a retrieval augmented language model and is strained end to end so that it can…”