EN
05 Dec 2024
|
Paper Review
Scaling Laws
LLM Evaluation
Efficient Inference
This article explains the key points of Densing Law of LLMs. 2024-12-05 (arXiv) Xiao, Chaojun, Cai, Jie, Zhao, Weilin, Zeng, Guoyang, Lin, Biyuan, Zhou, Jie, Zheng, Zhi, Han, Xu, Liu, Zhiyuan, Sun, Maosong. Tsinghua University, ModelBest Inc. Paper Read this article in Korean Summary Comparing large language models (LLMs) across...
KO
05 Dec 2024
|
Paper Review
Scaling Laws
LLM Evaluation
Efficient Inference
이번 글에서는 Densing Law of LLMs 논문의 핵심 포인트만 간단히 정리한다. 2024년 12월 5일(Arxiv) Xiao, Chaojun, Cai, Jie, Zhao, Weilin, Zeng, Guoyang, Lin, Biyuan, Zhou, Jie, Zheng, Zhi, Han, Xu, Liu, Zhiyuan, Sun, Maosong. Tsinghua University, ModelBest Inc. 논문 링크 영문판 보기 요약 파라미터 수가 다른 대규모 언어 모델(LLM)을 비교하려면...
EN
03 Dec 2024
|
Paper Review
Image Tokenization
Vector Quantization
Scaling Laws
This article explains the key points of Scaling Image Tokenizers with Grouped Spherical Quantization. 2024-12-03 (arXiv) Wang, Jiangtao, Qin, Zhen, Zhang, Yifan, Hu, Vincent Tao, Ommer, Björn, Briq, Rania, Kesselheim, Stefan. Jülich Supercomputing Centre, TapTap, Tsinghua University, CompVis @ LMU Munich, MCML Paper Github Read this article in Korean Summary...
KO
03 Dec 2024
|
Paper Review
Image Tokenization
Vector Quantization
Scaling Laws
이번 글에서는 Scaling Image Tokenizers with Grouped Spherical Quantization 논문의 핵심 포인트만 간단히 정리한다. 2024년 12월 3일(Arxiv) Wang, Jiangtao, Qin, Zhen, Zhang, Yifan, Hu, Vincent Tao, Ommer, Björn, Briq, Rania, Kesselheim, Stefan. Jülich Supercomputing Centre, TapTap, Tsinghua University, CompVis @ LMU Munich, MCML 논문 링크 Github 영문판 보기 요약 이미지를...
EN
21 Nov 2024
|
Paper Review
Reasoning
Monte Carlo Tree Search
Supervised Fine-Tuning
This article explains the key points of Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions. 2024-11-21 (arXiv) Zhao, Yu, Yin, Huifeng, Zeng, Bo, Wang, Hao, Shi, Tianqi, Lyu, Chenyang, Wang, Longyue, Luo, Weihua, Zhang, Kaifu. MarcoPolo Team, Alibaba International Digital Commerce Paper Github Read this article in Korean Summary Marco-o1...