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Challenges in Evaluating AI Models
The chapter explores the difficulties in assessing AI models, focusing on the discrepancies in evaluation methods, replicability issues, and the shift towards general-purpose models. It discusses the concerns around current machine learning practices such as result cherry-picking, lack of transparency, and the necessity of reproducibility for scientific progress.