A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Train Claude Code to write production-ready code following TheOne Studio best practices for each development team. These skills enforce code quality, architecture patterns, and framework-specific ...
Abstract: Hydraulic systems serve as a pivotal component in modern industrial settings, where leakage faults significantly impact the system's safety and operational efficiency. This paper introduces ...
Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...
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