Earlier quoted context omitted.
I see it a bit differently - LLMs are an incredible innovation but it’s hard to do anything useful with them without the right wrapper. A good wrapper has deep domain knowledge baked into it, combined with automation and expert use of the LLM. It maybe isn’t super innovative but it’s a bit of an art form and unlocks the utility of the underlying LLM
Exactly. To present a potential usecase: there's a ridiculous and massive backlog in the Indian judicial system. LLMs can be let loose on the entire workflow: triage cases (simple, complicated, intractable, grouped by legal principles or parties), pull up related caselaw, provide recommendations, throw more LLMs and more reasoning at unclear problems. Now you can't do this with just a desktop and chatgpt, you need a…
Or just make some up...