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"Garbage in, garbage out" means that if you feed garbage to your algorithm, then you're going to get garbage in return. It's always been a one-way implication. It doesn't mean that if you feed valid data, you're not going to get garbage.



The fun part is that with LLMs we can now sometimes put absolute garbage in and still get good results.




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