Recent content by harrylab93

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    Understanding Perplexity: data quality and useful tools

    A practical understanding of Perplexity starts with knowing what the system does well, where it is unreliable, and how to validate the result. One important area is data quality. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can...