
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
Successful organizations recognize the need to develop applications that effectively harness the massive amounts of data available to them. These organizations want to use machine learning to train predictive models from large datasets, so that they can make critical decisions based on their data. This places organizations without the in-house expertise to build machine learning models at a significant disadvantage. For this reason, InterSystems has created IntegratedML.
IntegratedML enables developers and data analysts to build and deploy machine learning models within a SQL environment, without any expertise required in feature engineering or machine learning algorithms. Using IntegratedML, developers can use SQL queries to create, train, validate, and execute machine learning models.
IntegratedML ***ably reduces the barrier to entry into using machine learning, enabling a quick transition from having raw data to having an implemented model. It is not meant to replace data scientists, but rather complement them.
For brief instructions for using this image, see Get Started! on the https://hub.docker.com/r/intersystems/iris-community.
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
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