Wolfram
Wolfram ChatGPT插件通过WolframAlpha和Wolfram语言提供动态计算和精选数据,理解自然语言查询,执行数学计算和复杂的数据分析。
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Wolfram ChatGPT插件是一款强大的计算和知识获取工具,它通过WolframAlpha和Wolfram语言提供动态计算和精选数据。该插件能理解关于化学、物理、地理、历史、艺术、天文等领域的自然语言查询,并进行数学计算、日期和单位转换、公式求解等。此外,它还能执行复杂的计算、数据分析、绘图、数据导入和信息检索。无论是学生、教师、研究人员还是数据科学家,都可以利用这款插件获取所需的信息和解决问题。
功能
- 理解关于化学、物理、地理、历史、艺术、天文等领域的自然语言查询。
- 执行数学计算、日期和单位转换、公式求解等。
- 执行复杂的计算、数据分析、绘图、数据导入和信息检索。
- 使用Wolfram语言进行外部计算。
了解这个插件的教程:
如何使用ChatGPT插件Wolfram?
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If you are unsure, ask the user to choose.\n -- Re-send the exact same 'input' with NO modifications, and add the 'assumption' parameter, formatted as a list, with the relevant values.\n -- ONLY simplify or rephrase the initial query if a more relevant 'Assumption' or other input suggestions are not provided.\n -- Do not explain each step unless user input is needed. Proceed directly to making a better API call based on the available assumptions.\ngetWolframCloudResults guidelines:\n- Accepts only syntactically correct Wolfram Language code.\n- Performs complex calculations, data analysis, plotting, data import, and information retrieval.\n- Before writing code that uses Entity, EntityProperty, EntityClass, etc. expressions, ALWAYS write separate code which only collects valid identifiers using Interpreter etc.; choose the most relevant results before proceeding to write additional code. Examples:\n -- Find the EntityType that represents countries: `Interpreter[\"EntityType\",AmbiguityFunction->All][\"countries\"]`.\n -- Find the Entity for the Empire State Building: `Interpreter[\"Building\",AmbiguityFunction->All][\"empire state\"]`.\n -- EntityClasses: Find the \"Movie\" entity class for Star Trek movies: `Interpreter[\"MovieClass\",AmbiguityFunction->All][\"star trek\"]`.\n -- Find EntityProperties associated with \"weight\" of \"Element\" entities: `Interpreter[Restricted[\"EntityProperty\", \"Element\"],AmbiguityFunction->All][\"weight\"]`.\n -- If all else fails, try to find any valid Wolfram Language representation of a given input: `SemanticInterpretation[\"skyscrapers\",_,Hold,AmbiguityFunction->All]`.\n -- Prefer direct use of entities of a given type to their corresponding typeData function (e.g., prefer `Entity[\"Element\",\"Gold\"][\"AtomicNumber\"]` to `ElementData[\"Gold\",\"AtomicNumber\"]`).\n- When composing code:\n -- Use batching techniques to retrieve data for multiple entities in a single call, if applicable.\n -- Use Association to organize and manipulate data when appropriate.\n -- Optimize code for performance and minimize the number of calls to external sources (e.g., the Wolfram Knowledgebase)\n -- Use only camel case for variable names (e.g., variableName).\n -- Use ONLY double quotes around all strings, including plot labels, etc. (e.g., `PlotLegends -> {\"sin(x)\", \"cos(x)\", \"tan(x)\"}`).\n -- Avoid use of QuantityMagnitude.\n -- If unevaluated Wolfram Language symbols appear in API results, use `EntityValue[Entity[\"WolframLanguageSymbol\",symbol],{\"PlaintextUsage\",\"Options\"}]` to validate or retrieve usage information for relevant symbols; `symbol` may be a list of symbols.\n -- Apply Evaluate to complex expressions like integrals before plotting (e.g., `Plot[Evaluate[Integrate[...]]]`).\n- Remove all comments and formatting from code passed to the \"input\" parameter; for example: instead of `square[x_] := Module[{result},\\n result = x^2 (* Calculate the square *)\\n]`, send `square[x_]:=Module[{result},result=x^2]`.\n- In ALL responses that involve code, write ALL code in Wolfram Language; create Wolfram Language functions even if an implementation is already well known in another language.\n","description_for_human":"Access computation, math, curated knowledge & real-time data through Wolfram|Alpha and Wolfram Language.","auth":{"type":"service_http","instructions":"","authorization_type":"bearer","verification_tokens":{"openai":"39feb25c54a6427a97c01dbd1342cfd9"}},"api":{"type":"openapi","url":"https:\/\/www.wolframalpha.com\/.well-known\/apispec.json"},"logo_url":"https:\/\/www.wolframcdn.com\/images\/icons\/Wolfram.png","contact_email":"chatgpt-contact@wolframalpha.com","legal_info_url":"https:\/\/products.wolframalpha.com\/api\/commercial-termsofuse"},"oauth_client_id":null,"user_settings":{"is_installed":false,"is_authenticated":true},"categories":[{"id":"most_popular","title":"Most popular"}]}
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