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If you treat LLMs as know-it-alls and just copy the output, then your expectations of the current generation of LLMs are too high. That doesn’t mean they’re no
by lakySK 3y ago
If you treat LLMs as know-it-alls and just copy the output, then your expectations of the current generation of LLMs are too high.
That doesn’t mean they’re not useful though.
- dinvlad 3y agoOK let’s say if I don’t, how can I make sure what I get is correct, even after a few iterations?
- hxugufjfjf 3y agoYou ask it to explain its reasoning step by step. This has also proven to yield more accurate results. Look into Chain of Thought
- dinvlad 3y agoIt’s not very good at explaining stuff though. One example: ask it to explain a subtle joke, and it will keep failing in funny ways. This is not surprising though, as these kinds of models (LLMs) were specifically optimized for generation, not explanation.
- hxugufjfjf 3y agoIt's extremely good at explaining technical things like solving programming problems.