OpenAI的ChatCompletion和Completion都是自然语言生成模型的接口,但它们的用途和应用场景略有不同。 总之: ChatCompletion适用于生成对话和聊天场景的文本, Completion则适用于更为广泛的自然语言生成场景。 使用例子 由于两个的接口参数基本一致,我们这里就只通过例子介绍不一样的,通用部分请看:OpenAI.Completion.create 接...
OpenAI的ChatCompletion和Completion都是自然语言生成模型的接口,但它们的用途和应用场景略有不同。 总之: ChatCompletion适用于生成对话和聊天场景的文本, Completion则适用于更为广泛的自然语言生成场景。 使用例子 由于两个的接口参数基本一致,我们这里就只通过例子介绍不一样的,通用部分请看:OpenAI.Completion.create 接...
# create a chat completion chat_completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello world"}])# print the chat completion print(chat_completion.choices[0].message.content)Chat completion is a type of text completion where an AI ...
pip install --upgrade openai NodeJS: npm update openai 关闭终端并再次打开。运行代码。错误应该消失。 3投票 您需要重新安装 openai npm 软件包。过去 2 天才刚刚使用 createChatCompletion 进行了更新。 当我重新安装软件包并运行你的代码时,它成功运行了。 1投票 如果您使用npm为nodejs安装openai,您可能需...
您需要重新安装openai npm软件包。它在过去2天内才用createChatCompletion更新过。当我重新安装软件包并...
The model used in the chat completion. Text ID A unique identifier for the chat completion chunk Text Object The object type. This is alwayschat.completion. Text Created The Unix timestamp whenOpenAIcreated the chat completion. The value is in seconds. ...
const completion = await openai.createChatCompletion({ model: "gpt-3.5-turbo", messages: [ { role: 'user', content: "Write a blog on artificial intelligence", } ], }); This takes more than 10 seconds to complete. Code snippets No response OS Windows 11 Node version v18.12.1 Library ...
本文是Completion接口的参数说明和例子,官方文档看:https://platform.openai.com/docs/api-reference/completions 下面是一个简单的http请求例子 curl https://api.openai.com/v1/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $OPENAI_API_KEY" \ ...
OpenAI_Chat_Completion_ChatGPTNodePit Links No links available Developers You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you. To use this node in KNIME, install the extensionOpenAI Nodesfrom the below update site fol...
import openai from "./zggpt"; const query = async (prompt:string, chatId:string, model:string) => { const res= await openai .createChatCompletion({ model, prompt, temperature: 0.9, top_p:1, max_tokens:1000, frequency_penalty:0, presence_penalty:0, }) .then((res) => res.data....