Without over-disclosing: I work in a highly technical field. We’ve done considerable assessment of LLMs and our conclusion so far is that they’re largely useless to us. But since long before the LLM craze, we’ve also been exploring ML applications, and some of those have been yielding interesting results.
Both are flavors of AI. It’s just that one is in a massive hype cycle right now, so correcting unreasonable expectations is a necessity.
Language needs to change because it’s completely undecipherable to lay people. I use all sorts of models to great effect in my work. Random forests, LSTMs, SVMs, etc all have tons of great uses. I am pretty anti “AI” as lay people understand it (though the technology is super cool on a technical level)
On the plus side, I can much more easily convince people to use any sort of machine learning models than I used to be able to by calling it AI.
Without over-disclosing: I work in a highly technical field. We’ve done considerable assessment of LLMs and our conclusion so far is that they’re largely useless to us. But since long before the LLM craze, we’ve also been exploring ML applications, and some of those have been yielding interesting results.
Both are flavors of AI. It’s just that one is in a massive hype cycle right now, so correcting unreasonable expectations is a necessity.
Language needs to change because it’s completely undecipherable to lay people. I use all sorts of models to great effect in my work. Random forests, LSTMs, SVMs, etc all have tons of great uses. I am pretty anti “AI” as lay people understand it (though the technology is super cool on a technical level)
On the plus side, I can much more easily convince people to use any sort of machine learning models than I used to be able to by calling it AI.