AI Research
Physics2Weight: Direct Neural Network Architecture and Weight Generation from Physical Laws Using Large Language Models
An LLM-based approach generates neural network architectures and weights from physical laws
Recent advances in large language models (LLMs) have enabled weight-space programming (WSP), which directly generates neural network weights without gradient-based optimization.
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ArXiv CS.AI
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ArXiv CS.AI
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Generated insight by OnAirToday AI
Generating weights directly could offer an alternative to gradient-based neural network training. The approach connects large language models with physical laws, though the supplied text gives no details about its performance or applications.
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