Less clarity in a prompt _never_ results in better outputs. If the LLM has to "figure out" what your prompt likely even means its already wasted a lot of computations going down trillions of irrelevant neural branches that could've been spent solving the actual problem.
Sure you can get creative interesting results from something like "dog park game run fun time", which is totally unclear, but if you're actually solving an actual problem that has an actual optimal answer, then clarity is _always_ better. The more info you supply about what you're doing, how, and even why, the better results you'll get.
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Less clarity in a prompt _never_ results in better outputs. If the LLM has to "figure out" what your prompt likely even means its already wasted a lot of computations going down trillions of irrelevant neural branches that could've been spent solving the actual problem.
Sure you can get creative interesting results from something like "dog park game run fun time", which is totally unclear, but if you're actually solving an actual problem that has an actual optimal answer, then clarity is _always_ better. The more info you supply about what you're doing, how, and even why, the better results you'll get.