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Do you think LLM models are just Hype?
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I recently read an article talking about the AI Hype cycle, which in theory makes sense. As a practising Data Scientist myself, I see first-hand clients looking to want LLM models in their "AI Strategy roadmap" and the things they want it to do are useless. Having said that, I do see some great use cases for the LLMs.
Does anyone else see this going into the Hype Cycle? What are some of the use cases you think are going to survive long term?
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It's better, but it's still not quite enough accuracy if you really need to rely on the results - good enough for research & analysis, not enough for production. Like, if you want to remove home addresses from a text database, then a 1% miss rate may not be sufficient.