SteelAgent pairs LLM orchestration with physics to improve steel property prediction
A new arXiv paper introduces SteelAgent, an LLM-orchestrated, physics-informed framework for steel property prediction that addresses poor extrapolation to unfamiliar alloys and adds audited generalization and calibrated uncertainty.
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