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