Right, I find LLMs are fundamentally no different from Markov chains. It doesn’t mean they’re not useful, they’re a tool that’s good for certain use cases. Unfortunately, we’re in a hype phase right now where people are trying to apply them for a lot of cases they’re terrible at and where better tools already exist to boot.
they aren’t. The only difference is that the state transition table is so unimaginably gargantuan thit we can only generate an approximation of a tiny slice of it, instead of it being literally a table
Right, I find LLMs are fundamentally no different from Markov chains. It doesn’t mean they’re not useful, they’re a tool that’s good for certain use cases. Unfortunately, we’re in a hype phase right now where people are trying to apply them for a lot of cases they’re terrible at and where better tools already exist to boot.
they aren’t. The only difference is that the state transition table is so unimaginably gargantuan thit we can only generate an approximation of a tiny slice of it, instead of it being literally a table
exactly