https://huggingface.co/CompendiumLabs/bge-base-zh-v1.5-gguf Then, place the downloaded model in the Plugins\LocalOfflineAI\Content\model folder: Open the WBP_MainChat widget in the plug-in content directory: Set the name and type of the loaded GPT model in the widget blueprint to the mo...
server localhost:5000;#后端的registry服务器就是localhost,因为nginx 和registry 会使用同一个网络栈,所以指定localhost就可以了;} 在default.conf中已经存在的server节中添加如下内容, 并注释掉原有的local / {...} 部分: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 location/v2/{#如下的配置是nginx ...
AI代码解释 net user[username[password[options]]] 参数说明 username:用户帐户名 password:用户帐户密码 options:可选参数,用于指定用户帐户的属性 常用选项 /add:创建新用户帐户 /delete:删除用户帐户 /mod:修改用户帐户属性 /domain:指定用户帐户所在的域 /local:指定用户帐户为本地帐户 示例 创建用户帐户 代码语...
./Device/Vendor/MSFT/Policy/Config/UserRights/AllowLocalLogOn This user right determines which users can log on to the computer.Note Modifying this setting may affect compatibility with clients, services, and applications. For compatibility information about this setting, see Allow log on locally (...
./Device/Vendor/MSFT/Policy/Config/LocalUsersAndGroups/Configure 此设置允许管理员管理设备上的本地组。可能的设置: 更新组成员身份:通过“U”作更新组并添加和/或删除成员。使用“更新”时,策略中未指定的现有组成员保持不变。 替换组成员身份:通过“R”作替换组成员身份来限制组。使用 Replace 时,现有组成...
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If you disable the User Account Control: Run all administrators in Admin Approval Mode policy setting. It disables all the UAC features described in this section. This policy setting is available through the computer's Local Security Policy, Security Settings, Local Policies, and then Security Opti...
\\fileserver1.contoso.com\share\profiles\studentacct111.V2\AppData\Local\Microsoft\Windows\Temporary Internet Files\Low\Content.IE5ELSJ1AXB=,cm-9416518_1285174050, 66b6f8276f22fbe ,Miscellaneous,;;dc=s;cmw=owl;env=ifr;ord1=982256;sz=160x600;contx=Miscellaneous;btg=;ord=[timest...
Using Python for Azure Function with Application Insights Integration enabled to log trace messages. Not all logs were written to application insights, I've also found an error message in application insights. AI: Local storage access ha...
预训练阶段让LLMs掌握了大量的语言知识和世界知识,而微调阶段则使模型能够在特定任务上达到更高的性能。这种训练方法赋予了LLMs在处理各种语言任务时的灵活性和适应性,能够为用户提供准确、多样化的信息和服务。 1.2 LLMs和应用程序的差异 开放性 LLMs:通过深度学习的预训练和微调过程,LLMs掌握了从海量互联网文本中...