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by rar00
295 days ago
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I know people are pushing back, taking "only" literally, but from a reasonable perspective what causes LLMs (technically their outputs) to give that impression is indeed the crux of what holds progress back: how/what LLMs learn from data. In my personal opinion, there's something fundamentally flawed the whole field has yet to properly pinpointing and fix. |
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Isn't it obvious?
It's all built around probability and statistics.
This is not how you reach definitive answers. Maybe the results make sense and maybe they're just nice sounding BS. You guess which one is the case.
The real catch --- if you know enough to spot the BS, you probably didn't need to ask the question in the first place.