Qwen2.5-Max

Qwen2.5-Max

Benchmarking GenAI Models for Penguin Species Prediction: Grok 3, DeepSeek-V3, and Qwen2.5-Max Delivered Top Results

How well can today’s leading GenAI models classify real-world biodiversity data—without bespoke code or traditional machine learning pipelines? In this study, we benchmarked a range of large language models on the task of predicting penguin species from tabular ecological measurements, including both numerical and categorical variables. Using a

Policy Text Classification with GenAI: A Zero-Shot Approach Using Comparative Agendas Project Major Topic Labels

Recent advances in Generative AI offer researchers new opportunities to assign topic labels to political and legislative texts without manual coding or programming. The Comparative Agendas Project (CAP) provides a structured topic classification system that captures the major areas of public policy. Traditionally, applying these labels required manual annotation or