this post was submitted on 19 Oct 2023
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People who aren't amazed at what LLMs produces have no clue how complicated it is to generate plausible language in the first place. Dunning–Kruger and all that.
The ability to generate plausible language was a lack of compute power. The actual programs running the LLM is not complicate.
The model that is produced is complex.
Its training required compute power that was not previously available but the math/code behind these systems is not complex. They are resource intensive. There is a difference that a layperson often cannot comprehend.
So what is it now?
Are LLMs more intelligent than your smartphone, or do they need a lot more computer power to produce the same thing as your smartphone?