AI software needs a clear distinction between problems and solutions, one post argues
The post warns against expecting AI to define the problem for you or overengineering brittle implementations for a specific language model.
TLDR
A post argues that good AI software requires a clear understanding of problems versus solutions. It warns that expecting AI to handle problem specification will leave you dissatisfied, while overengineering brittle implementation choices for a particular large language model will prevent your software from scaling.
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