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University of New South Wales
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Continuous-depth transformers, augmented with physics-informed loss, can significantly improve short-term weather forecasting, suggesting a promising path for hybrid physics-aware AI models.
General-purpose LLMs stumble on domain-specific RAG, but a model trained on just 6.5K synthetic examples closes the gap and slashes hallucinations almost in half.
