Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering — mentioned by noahho

Wed, 14 Jun 2023 13:03:14 GMT

LLMs meet AutoML: in an effort to integrate user knowledge into AutoML, our new tool CAAFE uses LLMs to generate semantically meaningful features for tabular data (and also explains them). Towards an AI assistant for human data scientists Paper https://arxiv.org/abs/2305.03403 Demo https://colab.research.google.com/drive/1mCA8xOAJZ4MaB_alZvy... CAAFE uses GPT-4 and a textual description of the dataset to iteratively generate Python code that creates new features and explanations for their utility. It thereby harnesses the creative power of LLMs in combination with a systematic verification…

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Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering · HackerPapers discussions

Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering — mentioned by noahho