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HELM is a compiler and runtime for deploying Large Language Models (LLMs) on heterogeneous hardware clusters. It orchestrates execution across GPUs, and CPUs.
A lightweight PyTorch framework for distinguishing out-of-distribution (OOD) inputs from adversarial (ADV) samples using intermediate feature representations.
Quantum Polar Metric Learning (QPMeL ) that uses a classical model to learn the parameters of the polar form of a qubit. We then utilize a shallow PQC with 𝑅𝑦 a…