366 lines
15 KiB
YAML
366 lines
15 KiB
YAML
# WARNING: Never edit this file.
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# It will be overwritten when translations are pulled from Crowdin.
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#
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# To work with us on translations, join this project:
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# https://translate.discourse.org/
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zh_CN:
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admin_js:
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admin:
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site_settings:
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categories:
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discourse_ai: "Discourse AI"
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js:
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discourse_automation:
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scriptables:
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llm_report:
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fields:
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sender:
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label: "发送人"
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description: "将发送报告的用户"
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receivers:
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label: "接收人"
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description: "将收到报告的用户（电子邮件地址将收到直接电子邮件，用户名将收到私信）"
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topic_id:
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label: "话题 ID"
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description: "要将报告发布到的话题 ID"
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title:
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label: "标题"
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description: "报告的标题"
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days:
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label: "天数"
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description: "报告的时间范围"
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offset:
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label: "偏移"
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description: "在测试时，您可能希望运行历史报告，请使用“偏移”启动较早日期的报告"
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instructions:
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label: "指令"
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description: "提供给大语言模型的指令"
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sample_size:
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label: "样本大小"
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description: "要为报告抽样的帖子数"
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tokens_per_post:
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label: "每个帖子的词例数"
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description: "每个帖子要使用的 LLM 词例数"
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model:
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label: "模型"
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description: "用于生成报告的 LLM"
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categories:
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label: "类别"
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description: "只看这些类别的话题"
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tags:
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label: "标签"
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description: "仅筛选这些标签的话题"
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exclude_tags:
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label: "排除标签"
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description: "排除带有这些标签的话题"
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exclude_categories:
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label: "排除类别"
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description: "排除这些类别的话题"
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allow_secure_categories:
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label: "允许安全类别"
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description: "允许为安全类别中的话题生成报告"
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suppress_notifications:
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label: "禁止通知"
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description: "通过转换为内容来禁止报告可能生成的通知。这将重新映射提及和内部链接。"
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debug_mode:
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label: "调试模式"
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description: "启用调试模式以查看 LLM 的原始输入和输出"
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priority_group:
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label: "优先群组"
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description: "在报告中优先考虑来自此群组的内容"
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temperature:
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label: "温度"
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description: "用于 LLM 的温度，增大它可提升随机性 （0 表示使用模型默认值）"
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top_p:
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label: "Top P"
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description: "用于 LLM 的 Top P，增大它可提升随机性（0 表示使用模型默认值）"
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llm_triage:
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fields:
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system_prompt:
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label: "系统提示"
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description: "将用于分类的提示，请确保它回复一个您可用于触发操作的字词"
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search_for_text:
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label: "搜索文本"
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description: "如果 LLM 回复中出现以下文本，则应用此操作"
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category:
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label: "类别"
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description: "应用于话题的类别"
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tags:
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label: "标签"
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description: "应用于话题的标签"
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canned_reply:
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label: "回复"
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description: "要为话题发布的预设回复的原始文本"
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canned_reply_user:
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label: "回复用户"
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description: "发布预设回复的用户的用户名"
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hide_topic:
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label: "隐藏话题"
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description: "如果触发，使话题对公众不可见"
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flag_post:
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label: "发送审查"
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description: "如果触发，则将帖子放入审核队列，以供版主进行分类"
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model:
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label: "模型"
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description: "用于分类的语言模型"
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discourse_ai:
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title: "AI"
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modals:
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select_option: "选择一个选项…"
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ai_persona:
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back: 返回
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name: 名称
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edit: 编辑
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description: 描述
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no_llm_selected: "未选择语言模型"
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max_context_posts: "最大上下文帖子数"
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max_context_posts_help: "人工智能在回复用户时用作上下文的最大帖子数。(默认为空)"
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vision_enabled: 已启用视觉（Vision）
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vision_enabled_help: 如果启用，AI 将尝试理解用户在主题中发布的图片，这取决于使用的模型是否支持视觉。Anthropic、Google 和 OpenAI 的最新模型支持该功能。
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vision_max_pixels: 支持的图像尺寸
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vision_max_pixel_sizes:
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low: 低质量 - 最便宜 (256x256)
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medium: 中等质量 (512x512)
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high: 高品质 - 最慢 (1024x1024)
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tool_details: 显示工具详细信息
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tool_details_help: 将向终端用户显示语言模型触发了哪些工具的详细信息。
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mentionable: 允许提及
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mentionable_help: 如果启用，允许群组中的用户可以在帖子中提及该用户，人工智能将以该角色的身份做出回应。
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user: 用户
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create_user: 创建用户
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create_user_help: 您可以选择为该角色附加一个用户。如果这样做，人工智能就会使用该用户来回复请求。
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default_llm: 默认语言模型
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default_llm_help: 此角色使用的默认语言模型。如果你希望在公开帖子中提及该角色，则必填。
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question_consolidator_llm: 问题整合器的语言模型
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question_consolidator_llm_help: 用于问题整合器的语言模型，你可以选择功能较弱的模型来节省成本。
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system_prompt: 系统提示
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show_indexing_options: "显示上传选项"
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hide_indexing_options: "隐藏上传选项"
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allow_chat: "允许聊天"
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allow_chat_help: "如果启用，允许群组中的用户可以向此角色发送私信"
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save: 保存
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saved: AI 角色已保存
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enabled: "已启用？"
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tools: 启用工具
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allowed_groups: 允许的群组
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confirm_delete: 确定要删除此角色吗？
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new: "新角色"
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title: "AI 角色"
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short_title: "角色"
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delete: 删除
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temperature: 温度
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temperature_help: 用于 LLM 的温度，增大它可提升创造力（留空以使用模型默认值，通常为 0.0 到 2.0 之间的值）
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top_p: Top P
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top_p_help: 用于 LLM 的 Top P，增大它可提升创造力（留空以使用模型默认值，通常为 0.0 到 1.0 之间的值）
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priority: 优先
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priority_help: 优先角色会在角色列表的顶部向用户显示。如果多个角色都具有优先级，将按字母顺序排序。
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tool_options: "工具选项"
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uploads:
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title: "上传"
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description: "您的 AI 角色将能够搜索和引用所包含文件的内容。上传的文件应格式化为纯文本 (.txt) 或 markdown (.md)。"
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button: "添加文件"
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filter: "过滤上传"
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uploading: "正在上传…"
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remove: "移除上传"
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tools:
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short_title: "工具"
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new: "新建工具"
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name: "名称"
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name_help: "被语言模型使用的工具的唯一名称"
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description: "描述"
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description_help: "向语言模型介绍该工具用途的清晰描述"
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summary: "总结"
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summary_help: "显示给最终用户的工具用途摘要"
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script: "脚本"
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parameters: "参数"
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save: "保存"
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add_parameter: "添加参数"
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parameter_required: "必选"
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parameter_enum: "枚举"
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parameter_name: "参数名"
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parameter_description: "参数描述"
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enum_value: "枚举值"
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add_enum_value: "添加枚举值"
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edit: "编辑"
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test: "运行测试"
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delete: "删除"
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saved: "工具已保存"
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presets: "选择一个预设..."
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confirm_delete: 确定要删除此工具吗？
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next:
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title: "下一步"
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test_modal:
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title: "测试 AI 工具"
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run: "运行测试"
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result: "测试结果"
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llms:
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short_title: "LLM"
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no_llms: "没有 LLM"
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new: "新建模型"
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display_name: "用于显示的名称"
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name: "模型名"
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provider: "托管模型的服务"
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url: "托管模型的服务的 URL"
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api_key: "托管模型的服务的 API 密钥"
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enabled_chat_bot: "允许 AI 机器人"
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ai_bot_user: "AI 机器人用户"
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save: "保存"
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edit: "编辑"
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saved: "LLM 模型已保存"
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back: "返回"
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confirm_delete: 确定要删除此模型吗？
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delete: 删除
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srv_warning: 此 LLM 指向一个 SRV 记录，其 URL 不可编辑。您必须更新隐藏的 "ai_vllm_endpoint_srv "设置。
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preconfigured_llms: "选择您的 LLM"
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preconfigured:
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none: "手动配置..."
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next:
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title: "下一步"
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tests:
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title: "运行测试"
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running: "正在运行测试..."
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success: "成功!"
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failure: "尝试联系模型时返回此错误： %{error}"
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hints:
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name: "我们将其包含在 API 调用中以指定我们将使用哪个模型。"
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providers:
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aws_bedrock: "AWS Bedrock"
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anthropic: "Anthropic"
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vllm: "vLLM"
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hugging_face: "Hugging Face"
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cohere: "Cohere"
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open_ai: "OpenAI"
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google: "Google"
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azure: "Azure"
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ollama: "Ollama"
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provider_fields:
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access_key_id: "AWS Bedrock 访问秘钥 ID"
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region: "AWS Bedrock 区域"
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organization: "可选 OpenAI 组织 ID"
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related_topics:
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title: "相关话题"
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pill: "相关"
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ai_helper:
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title: "使用 AI 提出更改建议"
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description: "选择以下选项之一，AI 将向您推荐新版本文本。"
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selection_hint: "提示：您也可以在打开助手之前选择文本的一部分来仅重写该文本。"
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suggest: "通过 AI 提出建议"
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missing_content: "请输入一些内容以生成建议。"
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context_menu:
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back: "返回"
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trigger: "AI"
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undo: "撤消"
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loading: "AI 正在生成"
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cancel: "取消"
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regen: "重试"
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view_changes: "查看更改"
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confirm: "确认"
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revert: "还原"
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changes: "更改"
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custom_prompt:
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title: "自定义提示"
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placeholder: "输入自定义提示…"
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submit: "发送提示"
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translate_prompt: "翻译为 %{language}"
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post_options_menu:
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trigger: "询问 AI"
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title: "询问 AI"
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loading: "AI 正在生成"
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close: "关闭"
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copy: "复制"
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copied: "已复制！"
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cancel: "取消"
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insert_footnote: "添加脚注"
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footnote_credits: "AI 的解释"
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fast_edit:
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suggest_button: "建议编辑"
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thumbnail_suggestions:
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title: "建议缩略图"
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select: "选择"
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selected: "已选择"
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image_caption:
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button_label: "使用 AI 生成标题"
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generating: "正在生成标题..."
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credits: "由 AI 生成标题"
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save_caption: "保存"
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automatic_caption_setting: "启用自动 AI 图片标题"
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automatic_caption_loading: "正在为图片生成标题..."
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automatic_caption_dialog:
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prompt: "此帖子包含无标题的图片。您想在图片上传时启用自动 AI 标题吗？（稍后可以在您的偏好设置中更改）"
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confirm: "启用"
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cancel: "不再询问"
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reviewables:
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model_used: "使用的模型："
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accuracy: "准确性："
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embeddings:
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semantic_search: "话题（语义）"
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semantic_search_loading: "正在使用 AI 搜索更多结果"
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semantic_search_results:
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toggle: "显示使用 AI 找到的 %{count} 个结果"
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toggle_hidden: "隐藏使用 AI 找到的 %{count} 个结果"
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none: "抱歉，我们的 AI 搜索没有找到匹配的话题。"
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new: "按“搜索”开始使用 AI 查找新结果"
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ai_generated_result: "使用 AI 找到的搜索结果"
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ai_bot:
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pm_warning: "版主会定期监控 AI 聊天机器人消息。"
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cancel_streaming: "停止回复"
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default_pm_prefix: "[无标题 AI 机器人私信]"
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shortcut_title: "使用 AI 机器人启动私信"
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share: "分享 AI 对话"
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conversation_shared: "对话已复制"
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debug_ai: "查看原始 AI 请求和响应"
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debug_ai_modal:
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title: "查看与 AI 的交互"
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copy_request: "复制请求"
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copy_response: "复制响应"
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request: "请求"
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response: "回应"
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share_full_topic_modal:
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title: "公开分享此对话"
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share: "分享并复制链接"
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update: "更新并复制链接"
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delete: "删除分享"
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share_ai_conversation:
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name: "分享 AI 对话"
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title: "公开分享此 AI 对话"
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ai_label: "AI"
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ai_title: "与 AI 的对话"
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share_modal:
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title: "复制 AI 对话"
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copy: "复制"
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context: "要分享的互动："
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share_tip: 或者，您可以分享整个对话。
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bot_names:
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fake: "假测试机器人"
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claude-3-opus: "Claude 3 Opus"
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claude-3-sonnet: "Claude 3 Sonnet"
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claude-3-haiku: "Claude 3 Haiku"
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cohere-command-r-plus: "Cohere Command R Plus"
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gpt-4: "GPT-4"
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gpt-4-turbo: "GPT-4 Turbo"
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gpt-4o: "GPT-4 Omni"
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gpt-3:
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5-turbo: "GPT-3.5"
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claude-2: "Claude 2"
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gemini-1:
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5-pro: "Gemini"
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mixtral-8x7B-Instruct-V0:
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"1": "Mixtral-8x7B V0.1"
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sentiments:
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dashboard:
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title: "情绪"
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summarization:
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chat:
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title: "总结消息"
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description: "选择以下选项，以总结在所需时间范围内发送的对话。"
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summarize: "总结"
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since:
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other: "过去 %{count} 小时"
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review:
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types:
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reviewable_ai_post:
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title: "AI 举报的帖子"
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reviewable_ai_chat_message:
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title: "AI 举报的聊天消息"
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