gpt医学上是什么意思

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2022-12-04
栏目：工具
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如何以最有效的方式使用 GPT-3

GPT-3，即Generative Pretrained Transformer 3，是OpenAI开发的一款强大的语言处理工具。它可用于生成类似人类的文本、回答问题以及执行各种其他与语言相关的任务。要以最有效的方式使用 GPT-3，请按照以下步骤操作：首先，您需要获取 GPT-3 的 API 密钥。您可以通过访问 OpenAI 网站并注册一个帐户来完成此操作。获得 API 密钥后，您需要安装必要的库和依赖项才能使用 GPT-3。这通常可以通过运行以下命令来完成： pip install openai 接下来，您需要创建一个新的 Python 脚本并导入 openai图书馆。您可以通过将以下代码行添加到脚本来执行此操作： import openaiopenai.api_key="" 现在，您可以通过调用 openai.Completion.create()方法并传入必要的参数。例如，要使用 GPT-3 生成文本，您可以使用以下代码： response=openai.Completion.create( engine="text-davinci-003", prompt="The quick brown fox jumps over the lazy dog.", max_tokens=1024, n=1, stop=["."], temperature=0.5,)print(response["choices"][0]["text"]) 这 response上面代码中的变量将包含 GPT-3 生成的文本。然后，您可以在自己的应用程序中使用此文本或将其保存到文件中供以后使用。 GPT-3 还具有回答问题和执行其他与语言相关的任务的能力。您可以使用 openai.Completion.create()方法来指定你希望 GPT-3 执行的任务类型，然后传入必要的参数来完成任务。 For example, to ask GPT-3 a question, you could use the following code: 例如，要向 GPT-3 提问，您可以使用以下代码： response=openai.Completion.create( engine="text-davinci-003", prompt="What is the capital of France?", max_tokens=1024, n=1, stop=["."], temperature=0.5,)print(response["choices"][0]["text"]) 这 response上面代码中的变量将包含 GPT-3 问题的答案。然后，您可以在自己的应用程序中使用此信息或将其保存到文件中供以后使用。

通过执行这些步骤，您可以以最有效的方式使用 GPT-3 生成文本、回答问题以及执行其他各种与语言相关的任务。

github 软件

The OpenAI Node.js library provides convenient access to the OpenAI API from Node.js applications. Most of the code in this library is generated from our OpenAPI specification.

Important note: this library is meant for server-side usage only, as using it in client-side browser code will expose your secret API key. See here for more details.

$ npm install openai

The library needs to be configured with your account's secret key, which is available on the website. We recommend setting it as an environment variable. Here's an example of initializing the library with the API key loaded from an environment variable and creating a completion:

const { Configuration, OpenAIApi } = require("openai");  const configuration = new Configuration({   apiKey: process.env.OPENAI_API_KEY, }); const openai = new OpenAIApi(configuration);  const completion = await openai.createCompletion({   model: "text-davinci-003",   prompt: "Hello world", }); console.log(completion.data.choices[].text);

Check out the full API documentation for examples of all the available functions.

All of the available API request functions additionally contain an optional final parameter where you can pass custom axios request options, for example:

const completion = await openai.createCompletion(   {     model: "text-davinci-003",     prompt: "Hello world",   },   {     timeout: 1000,     headers: {       "Example-Header": "example",     },   } );

API requests can potentially return errors due to invalid inputs or other issues. These errors can be handled with a statement, and the error details can be found in either or :

try {   const completion = await openai.createCompletion({     model: "text-davinci-003",     prompt: "Hello world",   });   console.log(completion.data.choices[].text); } catch (error) {   if (error.response) {     console.log(error.response.status);     console.log(error.response.data);   } else {     console.log(error.message);   } }

Streaming completions () are not natively supported in this package yet, but a workaround exists if needed.

All breaking changes for major version releases are listed below.

The function signature of changed to . The value previously passed in as the argument should now be passed in as in the params object (e.g. )
Replace any calls with

Thank you to ceifa for creating and maintaining the original unofficial npm package before we released this official library! ceifa's original package has been renamed to gpt-x.