AI Research
Iterated creation, grading, and revision of data science projects by language models
A study assesses agentic models’ data science capabilities and the effect of feedback
We evaluate the extent to which agentic AI models can complete an end-to-end data science project, and how this improves with feedback.
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ArXiv CS.AI
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2 min
ArXiv CS.AI
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Generated insight by OnAirToday AI
End-to-end data science projects test whether AI agents can handle connected tasks rather than isolated prompts. Studying how feedback affects performance can clarify the role of iterative evaluation and revision.
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