large language model

“And so I think for any startup, given the advancements in the LLM field, the current model you're using might be the right model today, but three months from now, 12 months from now, there's a good chance that another model might actually surpass the current m…”

“Right now a lot of these models fall flat and for an application like ours and for a lot of applications out there, that's kind of a pretty glaring omission. You know, these models are fantastic at summarization. They're really good at generating text based on…”

“Based on what we've seen today in the boundaries of the LLMs today is that we could, based on what we have tested with the models, actually build that now. And we are seeing the sophistication, the capability of the models to build that now. I think the roadbl…”

“To your original question, I think issues like those, hallucinations, lack of quant answering, those are probably going to be the major things that get released over the next couple years. I don't know what that looks like. You know, it might be an LLM that's …”

“There's whole categories of companies that are going to be cat, you know, Category defining independent successful big public multi-billion dollar companies that are just applications of large language models in a specific domain for a specific user with a gre…”

“And so I am beyond Fascinated and intrigued by the research that's taking place around memory and being able to reference things from previous conversations, but I think it's going to take way longer than we expect.”

“These things are really bad at doing math because they write compelling text, but they're really good at translating language, natural language to code.”

“I think you're gonna see the cost of inference tend to go down. Inference is the cost to actually serve and run the model. I think you're gonna see those things go down in relatively short order.”

“And as we were experimenting with the technology, it became clear this isn't a simple question and answer oriented technology. It really is a way to help ideas come to life, to really help exploratory ideas manifest. It takes your imagination and expands it in…”

“In my opinion, training models, especially smaller models, is easier than figuring out how to leverage the large language model capabilities correctly.”

“And the most impactful use cases really sit in between kind of those two poles, but it is really hard, expensive, and time consuming to connect large language models with customers' data, with AI guardrails, with business users and business logic.”

“I'm really happy with where the models are at today because they don't have to get any better for us to build a massive business. How they work today is actually good enough for our use case.”