316 lines
13 KiB
YAML
316 lines
13 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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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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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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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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search_for_text:
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label: "搜索文本"
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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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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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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_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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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_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_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_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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save: "保存"
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enabled: "已启用？"
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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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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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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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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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rag:
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options:
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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_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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uploads:
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title: "上传"
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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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name: "名称"
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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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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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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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llms:
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short_title: "LLM"
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no_llms: "没有 LLM"
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display_name: "名称"
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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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vision_enabled: "启用视觉"
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save: "保存"
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edit: "编辑"
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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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usage:
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ai_summarization: "总结"
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preconfigured_llms: "选择您的 LLM"
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next:
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title: "下一步"
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tests:
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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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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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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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fake: "自定义"
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related_topics:
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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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trigger: "询问 AI"
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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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confirm: "确认"
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discard: "舍弃"
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custom_prompt:
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placeholder: "输入自定义提示…"
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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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thumbnail_suggestions:
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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_loading: "正在为图片生成标题…"
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automatic_caption_dialog:
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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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ai_generated_result: "使用 AI 找到的搜索结果"
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quick_search:
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suffix: "在所有话题和帖子中使用 AI 搜索"
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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: "复制 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 AI 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_tokens: "请求令牌："
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response_tokens: "响应令牌："
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request: "请求"
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response: "响应"
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next_log: "下一步"
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previous_log: "上一个"
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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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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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