Contains documentation generation with Doxygen, unit tests with Google Test and a Justfile for simplified build operations. Business logic is implemented as a static library, and the GUI is ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Large Language Models (LLMs) are rapidly becoming commodity components of larger software systems. This poses natural security and privacy problems: poisoned data retrieved from one component can ...
Abstract: With the ongoing integration of new generation resources and evolving load profiles in modern power systems, the presence of harmonic pollution in the electric power network is continuously ...
Abstract: Large language models (LLMs), such as GPT-4 have demonstrated their ability to understand natural language and generate complex code snippets. This article introduces a novel LLM ...
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