I'm taking a much weaker position than the respondent: LLMs are useful for many classes of problem that do not require zero shot perfect accuracy. They are useful in contexts where the cost of building scaffolding around them to get their accuracy to an acceptable level is less than the cost of hiring humans to do the same work to the same degree of accuracy.
>LLMs are useful for many classes of problem that do not require zero shot perfect accuracy. They are useful in contexts where the cost of building scaffolding around them to get their accuracy to an acceptable level is less than the cost of hiring humans to do the same work to the same degree of accuracy.
Well said. Concise and essentially inarguable, at least to the extent it means LLMs are here to stay in the business world whether anyone likes it or not (barring the unforeseen, e.g. regulation or another pressure).
I'm taking a much weaker position than the respondent: LLMs are useful for many classes of problem that do not require zero shot perfect accuracy. They are useful in contexts where the cost of building scaffolding around them to get their accuracy to an acceptable level is less than the cost of hiring humans to do the same work to the same degree of accuracy.
This is basic business and engineering 101.
>LLMs are useful for many classes of problem that do not require zero shot perfect accuracy. They are useful in contexts where the cost of building scaffolding around them to get their accuracy to an acceptable level is less than the cost of hiring humans to do the same work to the same degree of accuracy.
Well said. Concise and essentially inarguable, at least to the extent it means LLMs are here to stay in the business world whether anyone likes it or not (barring the unforeseen, e.g. regulation or another pressure).