2007年1月4日。爱可信集团成员的爱可信系统美国公司宣布。由爱可信公司设计研发的、符合基于Linux的移动电话和终端需求的Hiker应用架构已经可以通过爱可信网站在线下载。下载网址为：www．accesscompany．com／about／opensource／dow...2007年1月4日。爱可信集团成员的爱可信系统美国公司宣布。由爱可信公司设计研发的、符合基于Linux的移动电话和终端需求的Hiker应用架构已经可以通过爱可信网站在线下载。下载网址为：www．accesscompany．com／about／opensource／download．html。将于2007年10月发布的Hiker应用架构为安装和管理各种应用提供一整套服务。遵循Mozilla Public License v1．1许可证发布的Hiker应用架构包括一系列安全特性，能够提供安全的应用管理和完整的用户体验。展开更多
Open-source large language models(LLMs)research has made significant progress,but most studies predominantly focus on general-purpose English data,which poses challenges for LLM research in Chinese education.To addres...Open-source large language models(LLMs)research has made significant progress,but most studies predominantly focus on general-purpose English data,which poses challenges for LLM research in Chinese education.To address this,this research first reviewed and synthesized the core technologies of representative open-source LLMs,and designed an advanced 1.5Bparameter LLM tailored for the Chinese education field.Chinese education large language model(CELLM)is trained from scratch,involving two stages,namely,pretraining and instruction fine-tuning.In the pre-training phase,an open-source dataset is utilized for the Chinese education domain.During the instruction fine-tuning stage,the Chinese instruction dataset is developed and open-sourced,comprising over 258,000 data entries.Finally,the results and analysis of CELLM across multiple evaluation datasets are presented,which provides a reference baseline performance for future research.All of the models,data,and codes are opensource to foster community research on LLMs in the Chinese education domain.展开更多
文摘2007年1月4日。爱可信集团成员的爱可信系统美国公司宣布。由爱可信公司设计研发的、符合基于Linux的移动电话和终端需求的Hiker应用架构已经可以通过爱可信网站在线下载。下载网址为：www．accesscompany．com／about／opensource／download．html。将于2007年10月发布的Hiker应用架构为安装和管理各种应用提供一整套服务。遵循Mozilla Public License v1．1许可证发布的Hiker应用架构包括一系列安全特性，能够提供安全的应用管理和完整的用户体验。
文摘Open-source large language models(LLMs)research has made significant progress,but most studies predominantly focus on general-purpose English data,which poses challenges for LLM research in Chinese education.To address this,this research first reviewed and synthesized the core technologies of representative open-source LLMs,and designed an advanced 1.5Bparameter LLM tailored for the Chinese education field.Chinese education large language model(CELLM)is trained from scratch,involving two stages,namely,pretraining and instruction fine-tuning.In the pre-training phase,an open-source dataset is utilized for the Chinese education domain.During the instruction fine-tuning stage,the Chinese instruction dataset is developed and open-sourced,comprising over 258,000 data entries.Finally,the results and analysis of CELLM across multiple evaluation datasets are presented,which provides a reference baseline performance for future research.All of the models,data,and codes are opensource to foster community research on LLMs in the Chinese education domain.
