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The issue that LLMs are constantly hallucinating and are not capable following long term rules. Since its still niche, its not a problem but what if professiona
by falloutx 2y ago
The issue that LLMs are constantly hallucinating and are not capable following long term rules. Since its still niche, its not a problem but what if professionals like Lawyers or doctors start using it day to day, then we are in trouble. I wouldn't go as far as saying its useless but its effectiveness is very close to zero in most fields not related to spamming.
- Kuinox 2y agoHave you tried to use LLM for work ?
- esafak 2y agoIt depends on your line of work. If it involves determining factual accuracy LLMs may not help: https://nondeterministic.computer/@martin/112326227079145176 https://nondeterministic.computer/@martin/112326227079145176 LLMs are good at synthesis and generation.
- Kuinox 2y agoIf you try to replace your whole job with an LLM, yes you will have problem. I work in IT, I use ChatGPT daily to spit out scripts, ask it to come up with function names, convert code from a technology to another, ask it to do minor refactoring that I don't know how to do. I can immediately validate the output, learn from it, and even work with techs I'm not familiar with.
- esafak 2y agoSo you use it for generation where validation is easy. If validation were harder, the calculus would change. I also get a lot of mileage out of it, but it is important to recognize its shortcomings.
- Kuinox 2y agoof course, I don't try to replace my whole job out of it. ChatGPT is 'good' at doing statistical analysis with python on a given dataset, that can help in the harder task you quoted "distinguishing between ideas that are correct, and ideas that are plausible-sounding but wrong". The job itself cannot be easily verified, but you can use LLM on a subset of theses tasks.
- mewpmewp2 2y agoThere are plenty of use cases where validation is easy.