3 ms·
For lots of jobs of “text querying” they do good enough of a job to be on par with humans (which are not infallible either). And there are applications where y
by tinodb 10mo ago
For lots of jobs of “text querying” they do good enough of a job to be on par with humans (which are not infallible either).
And there are applications where you don’t have/wouldn’t pay another human, and the job that an AI does for mere cents is good enough most of the times. Like doing an analysis on a legacy codebase. I’ll read and verify, but running that “query” then saved me a lot of time.
Not everything needs to be deterministic to be of value.
- WorldMaker 10mo agoI agree, they can be "practical tools for the job", that's where I ended my comment. The disagreement seems to be that "practical tool for the job" is the same as "right tool for the job". A hammer can be a practical tool for the job of screwing a nail into a wall (once, at least) but few would call it the right tool for that job. An LLM can be a practical tool for a text query (at least as a first pass, at least with review and a grain of sand), but if you need reliability or repeatability or the ability to send results directly to a customer without a human in the loop it may not be the right tool for the job. There's obviously a value in practical tools, deterministic or not. It's just worth making the distinction that a practical tool is not always fit for purpose as the "right" tool if you really are seeking the (most) right tool for the job.