this post was submitted on 07 Mar 2024
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LLMs should absolutely not be used for things like customer support, that's the easiest way to give customers wrong info and aggregate them. For reviewing documents LLMs have been abysmally bad.
For gammer it can be useful but what it actually is best for is for example biochemistry for things like molecular analysis and creating protein structures.
I work in an office job that has tried to incorporate AI but so far it has been a miserable failure except for analysing trends in statistics.
I agree about customer support, but in the end it's going to come down to number of cases like this, how much they cost, versus the cost of a room of paid employees answering them.
It's going to take actual laws forbidding it to make them stop.
Oh, yea, of course companies will take advantage of this to just replace a ton of people with a zero cost alternative. I'm just saying that's not where it should be used as it's terrible at those tasks.
A LLM is terrible for molecular analysis, AI can be used but not LLM.
AI doesn't exist currently, that's what LLMs are currently called. Also they have been successfully used for this and show great promise so far, unlike the hallucinating chatbot.
AGI Artificial General Intelligence doesn't exist that is what people think of in sci-fi like Data or Hal. LLM or Large Language Models like CHAT GPT are the hallucinating chat bots, they are just more convincing than the previous generations. There are lots of other AI models that have been used for years to solve large data problems.
Pretty much anything Google is giving me says they are using deep learning LLMs in biology.