Data Interpreter: An LLM Agent For Data Science

arXiv:2402.18679v1 Announce Type: cross
Abstract: Large Language Model (LLM)-based agents have demonstrated remarkable effectiveness. However, their performance can be compromised in data science scenarios that require real-time data adjustment, expertise in optimization due to complex dependencies among various tasks, and the ability to identify logical errors for precise reasoning. In this study, we introduce the Data Interpreter, a solution designed to solve with code that emphasizes three pivotal techniques to augment problem-solving in data science: 1) dynamic planning with hierarchical …

agent arxiv cs.ai cs.lg data data science interpreter llm science type