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Developing a highly effective, domain-specific large language model for reliability engineering. We will achieve this by creating a large-scale, high-quality, synthetic dataset and using it to fine…
A research framework merging inverted variate-token Transformers with locality-biased attention masks. Examines how contrasting encoding layouts and causal decay interact in time-series forecasting…