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Comment by ducktective

Someone please enlighten me

- Human describes the problem specs in vague English

- LLMs generate some solution based on the texts it has seen (LLMs may generate non-factual information here but assume the output is factual)

- Human refines the prompt to get closer to "the thing he has in mind"

- LLMs still tries _to the best of its effort_ generate a "close" solution

- and we loop here

Assume the specs of the problem is fixed. Why LLMs couldn't generate the output the Human "had in mind"?

Because English description of the problem was not deterministic?

What can we do? Invent a language for automation specification. Then LLMs can accurately churn up a solution in one shot.

But..that "deterministic language" is what programming languages are. So LLMs at this current state are basically a transpiler from rough-English to a deterministic-English.

But, can LLMs be thought only the specs of a programming language (like C) then generate assembly code from a valid C code? In effect, can LLMs be exact compilers not English transpilers?

parent ducktective 3 years ago

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