3 ms·
they're tools. treat them as tools. since they're so general, you need to explore if and how you can use them in your domain. guessing 'they're poorly suited'
by baq 1y ago
they're tools. treat them as tools.
since they're so general, you need to explore if and how you can use them in your domain. guessing 'they're poorly suited' is just that, guessing. in particular:
> We also found that the models were highly sensitive to seemingly trivial prompt changes
this is as much as obvious for anyone who seriously looked at deploying these, that's why there are some very successful startups in the evals space.
- rob_c 1y ago> guessing 'they're poorly suited' is just that, guessing I have a really nice bridge to sell you... This "failure" is just a grab at trying to look "cool" and "innovative" I'd bet. Anyone with a modicum of understanding of the tooling (or hell experience they've been around for a few years now, enough for people to build a feeling for this), knows that this it's not a task for a pre-trained general LLM.
- baq 1y agoI think you have a different idea of what I'm saying than what I'm actually saying.
- infecto 1y agoI agree in sentiment but if you spent any amount of time in finance, even outside of equity markets, you would have a pretty quick mental model that LLMs are a weird fit for this space.