Evaluating Open-Weights Models

This chapter focuses on the performance evaluations of various open-weights models from U.S. labs, highlighting discrepancies caused by the choice of providers. It emphasizes benchmark results and the importance of model selection for optimal accuracy and cost-effectiveness, particularly in biomedical tasks. The discussion also addresses performance limitations of certain models, including challenges with hallucination and knowledge deficits, while reflecting on their potential in creative applications.