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Found 2 papers, 1 papers with code
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs
Fine-tuning pre-trained large language models (LLMs) with limited hardware presents challenges due to GPU memory constraints.
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans
We evaluated the ability of machine learning models to predict the per member per month cost of employer groups in their next renewal period, especially those groups who will cost less than 95\% of what an actuarial model predicts (groups with "concession opportunities").
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