Data Interpreter: Enhancing Data Science with LLM Agents
The author introduces the Data Interpreter as a solution to enhance problem-solving in data science by utilizing dynamic planning, tool integration, and automated confidence-based verification. The Data Interpreter outperforms existing frameworks in machine learning tasks, mathematical problems, and real-world task performance.