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Understanding 1970’s pre-exhaust supersets training for fast gains

Based on expert advice from Mike Julom (ACE-certified trainer) and Mr. America Jason Kozma. A training method from the 1970s, ...
IEEE

Protein-Binding RNA Prediction Based on Integrated Sequence-Structure-Function Pre-Training

Abstract: RNA binding proteins (RBPs) play a crucial role in regulating biological functions through their interactions with specific RNAs, significantly impacting various life processes.

Quantum Acceleration For Frontier AI: Does It Cut The Cost Of Training?

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
IEEE

PPF: Pre-Training and Preservative Fine-Tuning of Humanoid Locomotion via Model-Assumption-Based Regularization

Abstract: Humanoid locomotion is a challenging task due to its inherent complexity and high-dimensional dynamics, as well as the need to adapt to diverse and unpredictable environments. In this work, ...
GitHub

Outlier-Safe Pre-Training

Quantization plays a crucial role in deploying Large Language Models (LLMs) in resource-constrained environments. However, the presence of outlier features significantly hinders low-bit quantization.