💡 What is Trinity-RFT? Trinity-RFT is a general-purpose, flexible and user-friendly framework for LLM reinforcement fine-tuning (RFT). It decouples RFT into three components that work in coordination ...
Abstract: This paper investigates the potential ofapproximate addition for k-means clustering, which is a popular unsupervised machine learning technique. The k-means clustering aims to organize data ...
Abstract: This paper presents a novel methodology for realizing a computationally efficient multi-objective design optimization (CE-MODO) of switched reluctance motors (SRMs). Existing MODO approaches ...
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