Using LLMs for everything is going to be seen as a big fad in a few years. First we try them for everything, then we find what use cases actually make sense, then we scale back. Woe betide our 401(k)s when it happens, though.
drBonkers 5 minutes ago [-]
This is a concise statement of what I've tried to articulate by analogizing it to railroad infra buildout.
What applications do you think make the most sense so far?
z3c0 29 minutes ago [-]
Ha! To think that we're finally back to asking ourselves why we are using generative models for categorization and extraction. I wonder how much money has collectively been wasted by companies wittling away at square pegs.
3 hours ago [-]
Rendered at 16:08:03 GMT+0000 (Coordinated Universal Time) with Vercel.
What applications do you think make the most sense so far?