CAAFE lets you semi-automate your feature engineering process based on your explanations on the dataset and with the help of language models. It is based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023). CAAFE is developed as part of Prior Labs. CAAFE systematically verifies the generated features to ensure that only features that are actually useful are added to the dataset.