Serious Data From Testing LLMs
Read OriginalThe article presents a detailed experiment testing four Large Language Models (LLMs) on their ability to retrieve ingredients from a text containing multiple recipes. The author argues for evidence-based AI testing over blind faith, shares raw and analyzed data, and discusses the methodology as a model for responsible AI evaluation. It is a technical critique aimed at software testing and AI reliability.
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