493 lines
22 KiB
YAML
493 lines
22 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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api:
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scopes:
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descriptions:
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discourse_ai:
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search: "允许 AI 搜索"
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stream_completion: "允许流式 AI 角色补全"
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site_settings:
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categories:
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discourse_ai: "Discourse AI"
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dashboard:
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emotion:
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title: "情绪"
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description: "该表列出了按确定的情绪分类的帖子数量。使用“SamLowe/roberta-base-go_emotions”模型进行分类。"
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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: "每个帖子的词元数"
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description: "每个帖子要使用的 LLM 词元数"
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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: "仅筛选这些类别的话题"
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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。增大该值可以提升随机性（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，增大可以提升随机性（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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max_post_tokens:
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label: "帖子最大词元数"
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description: "使用 LLM 分类扫描的最大词元数"
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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，则应用这些操作"
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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，则将话题设为对公众不可见"
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flag_type:
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label: "举报类型"
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description: "对帖子应用的举报类型（垃圾信息或只是提出审核请求）"
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flag_post:
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label: "举报帖子"
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description: "举报帖子（垃圾信息或请求审核）"
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include_personal_messages:
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label: "包括私信"
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description: "同时扫描私信并对其进行分类"
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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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usage:
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short_title: "使用量"
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summary: "摘要"
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total_tokens: "词元总数"
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tokens_over_time: "一段时间内的词元数"
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features_breakdown: "按功能的使用量"
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feature: "功能"
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usage_count: "使用次数"
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model: "模型"
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models_breakdown: "按模型的使用量"
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users_breakdown: "按用户的使用量"
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all_features: "所有功能"
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all_models: "所有模型"
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username: "用户名"
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total_requests: "请求总数"
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request_tokens: "请求词元"
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response_tokens: "响应词元"
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cached_tokens: "缓存的词元"
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ai_persona:
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tool_strategies:
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all: "应用于所有回复"
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replies:
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other: "应用于前 %{count} 条回复"
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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: "AI 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: 启用视觉
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vision_enabled_help: 如果启用，AI 将尝试理解用户在话题中发布的图片，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: 支持的图片大小
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vision_max_pixel_sizes:
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low: 低品质 - 最便宜 (256x256)
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medium: 中等品质 (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: 将向最终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，允许的群组中的用户可以在帖子中提及此用户，AI 将以此角色的身份进行回复。
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user: 用户
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create_user: 创建用户
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create_user_help: 您可以选择为此角色附加一个用户。如果这样做，AI 将使用此用户来回复请求。
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default_llm: 默认语言模型
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default_llm_help: 用于此角色的默认语言模型。如果您希望在公开帖子中提及该角色，则为必选项。
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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，您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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forced_tool_strategy: 强制工具策略
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allow_chat_direct_messages: "允许聊天直接消息"
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allow_chat_direct_messages_help: "如果启用，允许的群组中的用户可以向此角色发送直接消息。"
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allow_chat_channel_mentions: "允许聊天频道提及"
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allow_chat_channel_mentions_help: "如果启用，允许的群组中的用户可以在聊天频道中提及此角色。"
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allow_personal_messages: "允许私信"
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allow_personal_messages_help: "如果启用，允许的群组中的用户可以向此角色发送私信。"
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allow_topic_mentions: "允许话题提及"
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allow_topic_mentions_help: "如果启用，允许的群组中的用户可以在话题中提及此角色。"
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force_default_llm: "始终使用默认语言模型"
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save: "保存"
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saved: "角色已保存"
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enabled: "已启用？"
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tools: "启用的工具"
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forced_tools: "强制工具"
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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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no_personas: "您还没有创建任何角色"
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title: "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。增大该值可以提升创造力（留空将使用模型默认值，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，增大可以提升随机性（留空将使用模型默认值，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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rag_conversation_chunks: "搜索对话分块"
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rag_conversation_chunks_help: "为 RAG 模型搜索使用的分块数。增加分块数会增加 AI 可以使用的上下文数量。"
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persona_description: "角色是一种强大的功能，可以让您自定义 Discourse 论坛中 AI 引擎的行为。它们充当“系统消息”，指导 AI 的响应和互动，帮助创造更加个性化、引人入胜的用户体验。"
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rag:
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options:
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rag_chunk_tokens: "上传分块词元"
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rag_chunk_tokens_help: "RAG 模型中为每个分块使用的词元数。增大词元数会增加 AI 可以使用的上下文数量。（更改词元数将为所有上传内容重新编制索引）"
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rag_chunk_overlap_tokens: "上传分块重叠词元"
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rag_chunk_overlap_tokens_help: "RAG 模型中分块之间重叠的词元数。（更改词元数将为所有上传内容重新编制索引）"
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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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uploads:
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title: "上传"
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description: "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: "筛选上传"
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indexed: "已编制索引"
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indexing: "正在编制索引"
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uploaded: "准备好编制索引"
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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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back: "返回"
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short_title: "工具"
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no_tools: "您还没有创建任何工具"
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name: "名称"
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subheader_description: "工具可以通过用户定义的 JavaScript 函数扩展 AI 机器人的功能。"
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new: "新工具"
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name_help: "由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: "向语言模型介绍工具用途的清晰描述"
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summary: "摘要"
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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: "参数名称"
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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: "新模型"
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display_name: "名称"
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name: "模型 ID"
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provider: "提供程序"
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tokenizer: "词元生成器"
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max_prompt_tokens: "提示的词元数"
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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 机器人选择器"
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vision_enabled: "启用视觉"
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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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seeded_warning: "此模型已在您的网站上预先配置，无法编辑。"
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usage:
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ai_bot: "AI 机器人"
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ai_helper: "助手"
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ai_persona: "角色 (%{persona})"
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ai_summarization: "总结"
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ai_embeddings_semantic_search: "AI 搜索"
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in_use_warning:
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other: "此模型目前的使用者为 %{settings}。如果配置错误，功能将无法按预期运行。"
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model_description:
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none: "适用于大多数语言模型的常规设置"
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anthropic-claude-3-5-sonnet: "Anthropic 最聪明的模型"
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anthropic-claude-3-5-haiku: "快速、经济实惠"
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anthropic-claude-3-opus: "擅长写作和复杂任务"
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google-gemini-1-5-pro: "能够执行多种任务的中型多模态模型"
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google-gemini-1-5-flash: "轻量、快速、经济高效，具有多模态推理能力"
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open_ai-gpt-4-turbo: "上一代高智能模型"
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open_ai-gpt-4o: "适用于复杂、多步骤任务的高智能模型"
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open_ai-gpt-4o-mini: "经济、快速的小型模型，适用于轻量级任务"
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open_ai-o1-mini: "经济高效的推理模型"
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open_ai-o1-preview: "Open AI 最强大的推理模型"
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samba_nova-Meta-Llama-3-1-8B-Instruct: "高效的轻量级多语言模型"
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samba_nova-Meta-Llama-3-1-70B-Instruct": "强大的多用途模型"
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mistral-mistral-large-latest: "Mistral 最强大的模型"
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mistral-pixtral-large-latest: "Mistral 最强大的视觉能力模型"
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configured:
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title: "配置的 LLM"
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preconfigured_llms: "选择您的 LLM"
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preconfigured:
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title_no_llms: "选择一个模板以开始"
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title: "未配置的 LLM 模板"
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description: "LLM（大语言模型）是经过优化的 AI 工具，可用于执行总结内容、生成报告、自动执行客户互动以及促进论坛审核和见解等任务。"
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fake: "手动配置"
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button: "设置"
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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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max_prompt_tokens: "提示的最大词元数。根据经验，此值应为模型上下文窗口的 50%。"
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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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vision_enabled: "如果启用，AI 将尝试理解图片，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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enabled_chat_bot: "如果启用，用户可以在使用 AI 机器人创建私信时选择此模型"
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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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CDCK: "CDCK"
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samba_nova: "SambaNova"
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mistral: "Mistral"
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fake: "自定义"
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provider_fields:
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access_key_id: "AWS Bedrock 访问密钥 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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disable_system_prompt: "在提示中禁用系统消息"
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enable_native_tool: "启用原生工具支持"
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disable_native_tools: "禁用原生工具支持（使用基于 XML 的工具）"
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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。"
|
||
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。"
|
||
suggest: "通过 AI 提出建议"
|
||
suggest_errors:
|
||
too_many_tags:
|
||
other: "您最多只能有 %{count} 个标签"
|
||
no_suggestions: "没有建议"
|
||
missing_content: "请输入一些内容以生成建议。"
|
||
context_menu:
|
||
trigger: "询问 AI"
|
||
loading: "AI 正在生成"
|
||
cancel: "取消"
|
||
regen: "重试"
|
||
confirm: "确认"
|
||
discard: "舍弃"
|
||
changes: "建议的编辑"
|
||
custom_prompt:
|
||
title: "自定义提示"
|
||
placeholder: "输入自定义提示…"
|
||
submit: "发送提示"
|
||
translate_prompt: "翻译为%{language}"
|
||
post_options_menu:
|
||
trigger: "询问 AI"
|
||
title: "询问 AI"
|
||
loading: "AI 正在生成"
|
||
close: "关闭"
|
||
copy: "复制"
|
||
copied: "已复制！"
|
||
cancel: "取消"
|
||
insert_footnote: "添加脚注"
|
||
footnote_credits: "AI 的解释"
|
||
fast_edit:
|
||
suggest_button: "建议编辑"
|
||
thumbnail_suggestions:
|
||
title: "建议的缩略图"
|
||
select: "选择"
|
||
selected: "已选择"
|
||
image_caption:
|
||
button_label: "使用 AI 生成标题"
|
||
generating: "正在生成标题…"
|
||
credits: "由 AI 生成标题"
|
||
save_caption: "保存"
|
||
automatic_caption_setting: "启用自动标题"
|
||
automatic_caption_loading: "正在为图片生成标题…"
|
||
automatic_caption_dialog:
|
||
confirm: "启用"
|
||
cancel: "不再询问"
|
||
no_content_error: "先添加内容，然后对其执行 AI 操作"
|
||
reviewables:
|
||
model_used: "使用的模型："
|
||
accuracy: "准确性："
|
||
embeddings:
|
||
semantic_search: "话题（语义）"
|
||
semantic_search_loading: "正在使用 AI 搜索更多结果"
|
||
semantic_search_results:
|
||
toggle: "显示使用 AI 找到的 %{count} 个结果"
|
||
toggle_hidden: "隐藏使用 AI 找到的 %{count} 个结果"
|
||
none: "抱歉，我们的 AI 搜索没有找到匹配的话题"
|
||
new: "按“搜索”开始使用 AI 查找新结果"
|
||
ai_generated_result: "使用 AI 找到的搜索结果"
|
||
quick_search:
|
||
suffix: "在所有话题和帖子中使用 AI 搜索"
|
||
ai_artifact:
|
||
expand_view_label: "扩展视图"
|
||
click_to_run_label: "运行工件"
|
||
ai_bot:
|
||
pm_warning: "版主会定期监控 AI 聊天机器人消息。"
|
||
cancel_streaming: "停止回复"
|
||
default_pm_prefix: "[无标题 AI 机器人私信]"
|
||
shortcut_title: "使用 AI 机器人启动私信"
|
||
share: "复制 AI 对话"
|
||
conversation_shared: "对话已复制"
|
||
debug_ai: "查看原始 AI 请求和响应"
|
||
debug_ai_modal:
|
||
title: "查看 AI 交互"
|
||
copy_request: "复制请求"
|
||
copy_response: "复制响应"
|
||
request_tokens: "请求令牌："
|
||
response_tokens: "响应令牌："
|
||
request: "请求"
|
||
response: "响应"
|
||
next_log: "下一步"
|
||
previous_log: "上一步"
|
||
share_full_topic_modal:
|
||
title: "公开分享对话"
|
||
share: "分享并复制链接"
|
||
update: "更新并复制链接"
|
||
delete: "删除分享"
|
||
share_ai_conversation:
|
||
name: "分享 AI 对话"
|
||
title: "公开分享此 AI 对话"
|
||
ai_label: "AI"
|
||
ai_title: "与 AI 的对话"
|
||
share_modal:
|
||
title: "复制 AI 对话"
|
||
copy: "复制"
|
||
context: "要分享的互动："
|
||
share_tip: "或者，您可以分享整个对话"
|
||
bot_names:
|
||
fake: "假测试机器人"
|
||
claude-3-opus: "Claude 3 Opus"
|
||
claude-3-sonnet: "Claude 3 Sonnet"
|
||
claude-3-haiku: "Claude 3 Haiku"
|
||
cohere-command-r-plus: "Cohere Command R Plus"
|
||
gpt-4: "GPT-4"
|
||
gpt-4-turbo: "GPT-4 Turbo"
|
||
gpt-4o: "GPT-4 Omni"
|
||
gpt-3:
|
||
5-turbo: "GPT-3.5"
|
||
claude-2: "Claude 2"
|
||
gemini-1:
|
||
5-pro: "Gemini"
|
||
mixtral-8x7B-Instruct-V0:
|
||
"1": "Mixtral-8x7B V0.1"
|
||
sentiments:
|
||
dashboard:
|
||
title: "情绪"
|
||
summarization:
|
||
chat:
|
||
title: "总结消息"
|
||
description: "选择以下选项，以总结在所需时间范围内发送的对话。"
|
||
summarize: "总结"
|
||
since:
|
||
other: "过去 %{count} 小时"
|
||
topic:
|
||
title: "话题摘要"
|
||
close: "关闭摘要面板"
|
||
topic_list_layout:
|
||
button:
|
||
compact: "紧凑"
|
||
expanded: "展开"
|
||
expanded_description: "带 AI 摘要"
|
||
review:
|
||
types:
|
||
reviewable_ai_post:
|
||
title: "AI 举报的帖子"
|
||
reviewable_ai_chat_message:
|
||
title: "AI 举报的聊天消息"
|