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Optimizing Large Language Model Training: A New Approach to Hyperparameter Scaling

Batch Size and Weight Decay: Unpacking Adam’s Generalization in Neural Networks

REG Optimizer: Enhancing Stability and Performance in Large Language Model Training

Unpacking AI Optimizer Performance: Why Fair Benchmarking Reveals Modest Gains

Fisher-Orthogonal Projection: A New Method for Efficient Large-Batch Deep Learning

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Optimizing Transformer Training: Unpacking the Cooldown Phase of Learning Rate Schedules

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SCSAdamW: A New Approach to Accelerate Large Language Model Training

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Optimizing Large Language Model Training: A New Approach to Hyperparameter Scaling

October 20, 2025

Batch Size and Weight Decay: Unpacking Adam’s Generalization in Neural Networks

October 14, 2025

REG Optimizer: Enhancing Stability and Performance in Large Language Model Training

October 7, 2025