Výsledky vyhledávání - "Jeon, Hyesung"

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L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models

Autor: Jeon, Hyesung, Kim, Yulhwa, Kim, Jae-joon

Due to the high memory and computational costs associated with large language models (LLMs), model compression techniques such as quantization, which reduces inference costs, and parameter-efficient fine-tuning (PEFT) methods like Low-Rank Adaptation

Externí odkaz: http://arxiv.org/abs/2402.04902

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Squeezing Large-Scale Diffusion Models for Mobile

Autor: Choi, Jiwoong, Kim, Minkyu, Ahn, Daehyun, Kim, Taesu, Kim, Yulhwa, Jo, Dongwon, Jeon, Hyesung, Kim, Jae-Joon, Kim, Hyungjun

The emergence of diffusion models has greatly broadened the scope of high-fidelity image synthesis, resulting in notable advancements in both practical implementation and academic research. With the active adoption of the model in various real-world

Externí odkaz: http://arxiv.org/abs/2307.01193

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