[paisible]

I'm really confused by "Anecdotally, most people use LLMs for ~4 basic natural language tasks" and "Most LLM applications use some combination of these four". I'm not sure about the `ELI5` use-case, and feels like this is only true for a very limited type of use-cases people currently use LLMs for.

For conversational FAQ-type use-cases like the ones described by OP perhaps a few basic prompts suffice (although anything requiring the agent to have "agency" in its replies would necessarily require prompt engineering) - but what about all the other ways that people can use LLMs to analyze, transform and generate data?