app: description: "\u7FFB\u8BD1 GPT \u7684\u63D0\u793A\u8BCD\u66F4\u65B0\u548C\u4F18\u5316" icon: "\U0001F916" icon_background: '#FFEAD5' mode: workflow name: "\u5B9D\u7389\u7684\u82F1\u8BD1\u4E2D\u4F18\u5316\u7248" kind: app version: 0.1.0 workflow: environment_variables: [] features: file_upload: image: enabled: false number_limits: 3 transfer_methods: - local_file - remote_url opening_statement: '' retriever_resource: enabled: true sensitive_word_avoidance: enabled: false speech_to_text: enabled: false suggested_questions: [] suggested_questions_after_answer: enabled: false text_to_speech: enabled: false language: '' voice: '' graph: edges: - data: isInIteration: false sourceType: start targetType: llm id: 1722490886911-source-1722490889313-target source: '1722490886911' sourceHandle: source target: '1722490889313' targetHandle: target type: custom zIndex: 0 - data: isInIteration: false sourceType: llm targetType: end id: 1722490889313-source-1722490913713-target source: '1722490889313' sourceHandle: source target: '1722490913713' targetHandle: target type: custom zIndex: 0 nodes: - data: desc: '' selected: false title: "\u5F00\u59CB" type: start variables: - label: content max_length: 50000 options: [] required: true type: paragraph variable: content height: 90 id: '1722490886911' position: x: 80 y: 282 positionAbsolute: x: 80 y: 282 selected: false sourcePosition: right targetPosition: left type: custom width: 244 - data: context: enabled: false variable_selector: [] desc: '' model: completion_params: temperature: 1.1 mode: chat name: deepseek-chat provider: deepseek prompt_template: - id: ce2408e0-ce41-490f-a9ac-dd7e43b23344 role: system text: "You are a highly skilled translator tasked with translating various\ \ types of content from other languages into Chinese. Follow these instructions\ \ carefully to complete the translation task:\n\n## Input\n\nDepending\ \ on the type of input, follow these specific instructions:\n\n1. If the\ \ input is a URL or a request to translate a URL:\nFirst, request the\ \ built-in Action to retrieve the URL content. Once you have the content,\ \ proceed with the three-step translation process.\n\n2. If the input\ \ is an image or PDF:\nGet the content from image (by OCR) or PDF, and\ \ proceed with the three-step translation process.\n\n3. Otherwise, proceed\ \ directly to the three-step translation process.\n\n## Strategy\n\nYou\ \ will follow a three-step translation process:\n1. Translate the input\ \ content into Chinese, respecting the original intent, keeping the original\ \ paragraph and text format unchanged, not deleting or omitting any content,\ \ including preserving all original Markdown elements like images, code\ \ blocks, etc.\n2. Carefully read the source text and the translation,\ \ and then give constructive criticism and helpful suggestions to improve\ \ the translation. The final style and tone of the translation should\ \ match the style of \u7B80\u4F53\u4E2D\u6587 colloquially spoken in China.\ \ When writing suggestions, pay attention to whether there are ways to\ \ improve the translation's\n(i) accuracy (by correcting errors of addition,\ \ mistranslation, omission, or untranslated text),\n(ii) fluency (by applying\ \ Chinese grammar, spelling and punctuation rules, and ensuring there\ \ are no unnecessary repetitions),\n(iii) style (by ensuring the translations\ \ reflect the style of the source text and take into account any cultural\ \ context),\n(iv) terminology (by ensuring terminology use is consistent\ \ and reflects the source text domain; and by only ensuring you use equivalent\ \ idioms Chinese).\n3. Based on the results of steps 1 and 2, refine and\ \ polish the translation\n\n## Glossary\n\nHere is a glossary of technical\ \ terms to use consistently in your translations:\n\n- AGI -> \u901A\u7528\ \u4EBA\u5DE5\u667A\u80FD\n- LLM/Large Language Model -> \u5927\u8BED\u8A00\ \u6A21\u578B\n- Transformer -> Transformer\n- Token -> Token\n- Generative\ \ AI -> \u751F\u6210\u5F0F AI\n- AI Agent -> AI \u667A\u80FD\u4F53\n-\ \ prompt -> \u63D0\u793A\u8BCD\n- zero-shot -> \u96F6\u6837\u672C\u5B66\ \u4E60\n- few-shot -> \u5C11\u6837\u672C\u5B66\u4E60\n- multi-modal ->\ \ \u591A\u6A21\u6001\n- fine-tuning -> \u5FAE\u8C03\n\n\n## Output\n\n\ For each step of the translation process, output your results within the\ \ appropriate XML tags:\n\n\n[Insert your initial\ \ translation here]\n\n\n\n\ [Insert your reflection on the translation, write a list of specific,\ \ helpful and constructive suggestions for improving the translation.\ \ Each suggestion should address one specific part of the translation.]\n\ \n\n\n[Insert your refined\ \ and polished translation here]\n\n\nRemember\ \ to consistently use the provided glossary for technical terms throughout\ \ your translation. Ensure that your final translation in step 3 accurately\ \ reflects the original meaning while sounding natural in Chinese." - role: user text: '{{#1722490886911.content#}}' selected: false title: LLM type: llm variables: [] vision: enabled: false height: 98 id: '1722490889313' position: x: 384 y: 282 positionAbsolute: x: 384 y: 282 selected: true sourcePosition: right targetPosition: left type: custom width: 244 - data: desc: '' outputs: - value_selector: - '1722490889313' - text variable: output selected: false title: "\u7ED3\u675F" type: end height: 90 id: '1722490913713' position: x: 688 y: 282 positionAbsolute: x: 688 y: 282 sourcePosition: right targetPosition: left type: custom width: 244 viewport: x: 226 y: 108 zoom: 1