Results 61 to 70 of about 10,528 (144)

DeepSeek-assisted problem-based learning for glaucoma education in an undergraduate ophthalmology clerkship: a randomized educational pilot study

Scientific Reports
This study evaluated a teaching approach that combines the open-source large language model (LLM) DeepSeek with problem-based learning (PBL) in a glaucoma clerkship for medical students.
Zheyao Gu, Ting Xi, Chunyuan Zhang
doaj   +1 more source

Long Form Probe to DeepSeek on Hegel Project

Long Form Probe to DeepSeek on Hegel ...
Fraim, John
core   +1 more source

A286: Deepseek Empowering Extracurricular Physical Activities

Traditional management approaches for school extracurricular physical activities increasingly struggle with efficiency and personalization amid growing program diversity.
Chen, Zhuo, Wang, Tong
core   +1 more source

ChatGPT vs. DeepSeek: Prevođenje prirodnog jezika u SQL kod [PDF]

Veliki jezički modeli su privukli značajnu pažnju zbog sposobnosti generisanja smislenog i preciznog teksta. Prevođenje prirodnog jezika u SQL kod, kao i primena velikih jezičkih modela u ovoj oblasti, postaje sve popularnija tema među istraživačima.
Jovanović, Ivan, Đukić, Marija, Škembarević, Milica, Jejić, Olga   +3 more
core   +1 more source

Application of DeepSeek-assisted problem-based learning in hematology residency training

BMC Medical Education
Objectives This study aimed to evaluate the efficacy of integrating the open-source large language model (LLM) DeepSeek into problem-based learning (PBL) curriculum for hematology residency training.
Jinxiao Hou, Furun An, Hui Qin, Lulu Zhang, Juan Wang, Cui Zhang, Dachuan Fan   +6 more
doaj   +1 more source

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model [PDF]

We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training and efficient inference. It comprises 236B total parameters, of which 21B are activated for each token, and supports a context length of 128K ...
Chen, Deli, Du, Qiushi, Wen, Zhiniu, Cai, J. L., Yang, Hao, Nie, Xiaotao, DeepSeek-AI, Zhang, Wentao, Su, Xuecheng, Wang, Bin, Sun, Xiaowen, Zhou, Shangyan, Wang, Xiaohan, Shao, Zhihong, Ma, Yunxian, Zhu, Yuchen, Zhang, H., Feng, Bei, Xu, Zhipeng, Zhang, Zhen, Wang, Miaojun, Wei, Y. X., Zhou, Xinyi, Tian, Ning, Zhao, Yilong, Chen, Xiaosha, Xu, Yanhong, Li, Jiashi, Chen, R. J., Xie, Xin, Xu, Hanwei, Zhang, Peng, Fu, Zhe, Zhang, Zhongyu, Wang, Shiyu, Wang, T., Ding, Honghui, Wang, Yuduan, Pei, Tian, Wang, Yongji, Chen, Guanting, Li, Zilin, Liu, Aixin, Liu, Bo, Huang, Panpan, Xiong, Yiliang, Xia, Leyi, Zha, Yukun, Sun, Tianyu, Yan, Yuting, Dai, Damai, Qiu, Junjie, Chen, Ruyi, Liu, Yuxuan, Song, Xinnan, Li, Erhang, Dong, Kai, Zou, Yuheng, Li, Hui, Jin, Xiangyue, Yuan, Jingyang, Li, Mingming, Ruan, Chong, Xu, Runxin, Zhao, Chenggang, Zhang, Liyue, Lu, Xuan, Chen, Qinyu, Sha, Zhangli, Liu, Xin, Pan, Ruizhe, Zhao, Yao, Guan, Kang, Chen, Shanhuang, Wang, Bingxuan, Luo, Fuli, Ma, Shirong, Wang, Xiaoxiang, Lin, Fangyun, Li, Meng, Dengr, Chengqi, Chen, Xiaokang, Zhang, Yichao, Dong, Yixin, Guo, Daya, Li, Guowei, Gao, Huazuo, Huang, Zhen, Song, Junxiao, Li, S. S., Tang, Ying, Wang, Zihan, Yuan, Tian, Li, X. Q., Guo, Yongqiang, He, Ying, Zhu, Y. X., You, Yuxiang, Ren, Zehui, Ji, Dongjie, Guo, Jianzhong, Zhang, Lecong, Wu, Y., Li, Zhuoshu, Wang, Lean, Tang, Minghui, Li, Yaohui, Chen, Jin, Zheng, Yi, Xie, Zhenda, Shen, Xiaojin, Sun, Yaofeng, Tan, Yixuan, Ren, Z. Z., Lu, Shanghao, Zhang, Mingchuan, Zhang, Haowei, Xu, Lei, An, Wei, Gu, Zihui, Liu, Wen, Xie, Ziwei, Xiao, W. L., Liu, Yiyuan, Hao, Guangbo, Piao, Yishi, Li, Y. K., Huang, Yanping, Yu, Shuiping, Liang, Jian, Gao, Wenjun, Ye, Shengfeng, Yu, Xingkai, Li, Yao, Wu, Shaoqing, Hao, Zhewen, Zeng, Wangding, Wang, Peiyi, Qu, Hui, Gao, Kaige, Yang, Dejian, Bi, Xiao, Wang, Xianzu, Yang, Xinyu, Xin, Huajian, Zhou, Shuang, Ni, Jiaqi, Wang, Yaohui, Jin, R. L., Liang, Wenfeng, Liu, Xiaodong, Ge, Ruiqi, Zhou, Shunfeng, Zhao, Liang, Zhang, Minghua, Zheng, Size, Zhu, Qihao   +156 more
core   +1 more source

Can large language models respond health education questions for patients with palmar hyperhidrosis? A comparative study of ChatGPT and DeepSeek

Digital Health
Objective To compare the adaptability of two large language models: ChatGPT and DeepSeek in responding to health education questions related to patients with palmar hyperhidrosis.
Shajing Fan, Xiaoqing Liu, Min Tang, Sheng Ju, Jiaxi Li, Jing Luo   +5 more
doaj   +1 more source

Asian Responses to DeepSeek

The launch of the DeepSeek R1 chatbot in early 2025 prompted a flurry of responses. In Asia, it touched off discussions about gaining ground against big tech and national AI strategies.
Heyjin, Kim, Mobrand, Erik Johan
core  

Kineski DeepSeek i definicije konusnih, pseudokonusnih i cilindričnih projekcija

Kineski DeepSeek i definicije konusnih, pseudokonusnih i cilindričnih ...
Frančula, Nedjeljko, Lapaine, Miljenko
core   +1 more source

Performance of DeepSeek in the generation of in-training examination questions in radiology resident education

npj Digital Medicine
The performance of large language models (LLMs)-DeepSeek in the generation of in-training examination questions in radiology resident education is understudied.
Wei Qian, Kaicheng Li, Fang Cao, Shuyue Wang, Jin Mao, Chao Wang   +5 more
doaj   +1 more source