全网最详细中英文ChatGPT-GPT-4示例文档-官网推荐的48种最佳应用场景——从0到1快速入门AI智能问答应用场景（附python/node.js/curl命令源代码，小白也能学）

目录

• Introduce 简介
• setting 设置
• Prompt 提示
• Sample response 回复样本
• API request 接口请求
  • python接口请求示例
  • node.js接口请求示例
  • curl命令示例
  • json格式示例
• 其它资料下载

ChatGPT是目前最先进的AI聊天机器人，它能够理解图片和文字，生成流畅和有趣的回答。如果你想跟上AI时代的潮流，你一定要学会使用ChatGPT。如果你想了解OpenAI最新发布的GPT-4模型，以及它如何为ChatGPT聊天机器人带来更强大的功能，那么你一定不要错过OpenAI官网推荐的48种最佳应用场景，不管你是资深开发者、初学者，你都能够从0到1快速入门，并掌握他们。

通过阅读这篇文章，你将能够从0到1快速入门ChatGPT AI智能问答应用场景，并掌握如何与这个先进的语言模型进行交互。不管你是开发者、学者还是普通用户，你都可以在这里找到适合你的ChatGPT使用方法。

Introduce 简介

Answer questions based on existing knowledge.

根据现有知识回答问题。

setting 设置

Engine：text-davinci-003

Max tokens：100

Temperature： 0

Top p：1

Frequency penalty：0.0

Presence penalty：0.0

Stop sequence：\n

说明：

0、Engine 设置定义了你要使用的模型，例如 text-davinci-003 是一个文本生成模型。这种模型可以根据输入的文本，生成新的、相关的文本。

1、Max tokens是指在请求中最多允许返回的 token 数目，即你可以指定 chatGPT 返回最多 100 个 token。这可以帮助你控制输出的内容大小，以便更好地控制响应速度和结果。一般1个token约4个字符或者0.75个单词

2、Temperature 是一个参数，用于控制 chatGPT 的输出。它决定了 chatGPT 在生成文本时会多么“随意”。值越高，chatGPT 生成的文本就越不可预测；值越低，chatGPT 生成的文本就越可预测。它在0.0到1.0之间，Temperature设置为0意味着ChatGPT将会生成更加保守的回复，即更少的随机性和更多的准确性，这可以帮助你在聊天中更好地控制语义，并且可以防止ChatGPT产生不相关的内容。

3、Top P 是指在chatgpt中设置的最高优先级。它可以用来控制哪些接口会被优先处理，以及哪些接口会被忽略。当一个接口被设置为Top P时，它将会被优先处理，而其他接口将被忽略。

4、Frequency penalty是指在训练时，模型会根据词频来调整每个单词的重要性。它可以帮助模型更好地理解文本，并减少过拟合。Frequency penalty设置为0意味着模型不会对重复的词进行惩罚。它可以帮助模型生成更多的新词，而不是重复使用已有的词。

5、Presence penalty是指在chatgpt中，一些预先定义的条件或者状态可能会影响机器人回答的质量。例如，如果机器人收到的输入内容太短，就可能会受到惩罚，这种惩罚就叫做Presence penalty。如果将 Presence penalty 设置为 0，则表示不会有任何惩罚，比如用户可以随意重复发送相同的内容。

6、Stop sequence 是一种设置，通过它可以确定你的聊天会话的结束标志。当你在 chatgpt 中设置 Stop sequence为 \n 时，表示你的聊天会话结束标志是换行符（\n）。

Prompt 提示

I am a highly intelligent question answering bot. If you ask me a question that is rooted in truth, I will give you the answer. If you

ask me a question that is nonsense, trickery, or has no clear answer,

I will respond with "Unknown".

我是一个高智商的问答机器人。如果你问我一个植根于真理的问题，我会给予你答案。如果你问我一个问题，是废话，诡计，或没有明确的答案，我会回答“未知”。

————————————————————————————

Q: What is human life expectancy in the United States?

A: Human life expectancy in the United States is 78 years.

问：美国人的预期寿命是多少？答：美国人的预期寿命是78岁。

————————————————————————————

Q: Who was president of the United States in 1955?

A: Dwight D. Eisenhower was president of the United States in 1955.

问：谁是1955年的美国总统？答：Dwight D. Eisenhower 是1955年的美国总统。

————————————————————————————

Q: Which party did he belong to? A: He belonged to the Republican

Party. 问：他属于哪个党派？答：他是共和党人。

————————————————————————————

Q: What is the square root of banana?

A: Unknown

问：香蕉的平方根是多少？答：未知

————————————————————————————

Q: How does a telescope work?

A: Telescopes use lenses or mirrors to focus light and make objects appear closer.

问：望远镜是如何工作的？答：望远镜使用透镜或镜子来聚焦光线，使物体看起来更近。

————————————————————————————

Q: Where were the 1992 Olympics held?

A: The 1992 Olympics were held in Barcelona, Spain.

问：1992年奥运会在哪里举行？答：1992年奥运会在西班牙巴塞罗那举行。

————————————————————————————

Q: How many squigs are in a bonk?

A: Unknown

问：一次重击有多少只松鼠？答：未知

————————————————————————————

Q: Where is the Valley of Kings? A:

问：帝王谷在哪里？答：

Sample response 回复样本

The Valley of Kings is located in Luxor, Egypt.

帝王谷位于埃及卢克索。

API request 接口请求

python接口请求示例

import os
import openai
openai.api_key = os.getenv("OPENAI_API_KEY")
response = openai.Completion.create(
  model="text-davinci-003",
  prompt="I am a highly intelligent question answering bot. If you ask me a question that is rooted in truth, I will give you the answer. If you ask me a question that is nonsense, trickery, or has no clear answer, I will respond with \"Unknown\".\n\nQ: What is human life expectancy in the United States?\nA: Human life expectancy in the United States is 78 years.\n\nQ: Who was president of the United States in 1955?\nA: Dwight D. Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: Unknown\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.\n\nQ: How many squigs are in a bonk?\nA: Unknown\n\nQ: Where is the Valley of Kings?\nA:",
  temperature=0,
  max_tokens=100,
  top_p=1,
  frequency_penalty=0.0,
  presence_penalty=0.0,
  stop=["\n"]
)

node.js接口请求示例

const { Configuration, OpenAIApi } = require("openai");
const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
});
const openai = new OpenAIApi(configuration);
const response = await openai.createCompletion({
  model: "text-davinci-003",
  prompt: "I am a highly intelligent question answering bot. If you ask me a question that is rooted in truth, I will give you the answer. If you ask me a question that is nonsense, trickery, or has no clear answer, I will respond with \"Unknown\".\n\nQ: What is human life expectancy in the United States?\nA: Human life expectancy in the United States is 78 years.\n\nQ: Who was president of the United States in 1955?\nA: Dwight D. Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: Unknown\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.\n\nQ: How many squigs are in a bonk?\nA: Unknown\n\nQ: Where is the Valley of Kings?\nA:",
  temperature: 0,
  max_tokens: 100,
  top_p: 1,
  frequency_penalty: 0.0,
  presence_penalty: 0.0,
  stop: ["\n"],
});

curl命令示例

curl https://api.openai.com/v1/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
  "model": "text-davinci-003",
  "prompt": "I am a highly intelligent question answering bot. If you ask me a question that is rooted in truth, I will give you the answer. If you ask me a question that is nonsense, trickery, or has no clear answer, I will respond with \"Unknown\".\n\nQ: What is human life expectancy in the United States?\nA: Human life expectancy in the United States is 78 years.\n\nQ: Who was president of the United States in 1955?\nA: Dwight D. Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: Unknown\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.\n\nQ: How many squigs are in a bonk?\nA: Unknown\n\nQ: Where is the Valley of Kings?\nA:",
  "temperature": 0,
  "max_tokens": 100,
  "top_p": 1,
  "frequency_penalty": 0.0,
  "presence_penalty": 0.0,
  "stop": ["\n"]
}'

json格式示例

{
  "model": "text-davinci-003",
  "prompt": "I am a highly intelligent question answering bot. If you ask me a question that is rooted in truth, I will give you the answer. If you ask me a question that is nonsense, trickery, or has no clear answer, I will respond with \"Unknown\".\n\nQ: What is human life expectancy in the United States?\nA: Human life expectancy in the United States is 78 years.\n\nQ: Who was president of the United States in 1955?\nA: Dwight D. Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: Unknown\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.\n\nQ: How many squigs are in a bonk?\nA: Unknown\n\nQ: Where is the Valley of Kings?\nA:",
  "temperature": 0,
  "max_tokens": 100,
  "top_p": 1,
  "frequency_penalty": 0.0,
  "presence_penalty": 0.0,
  "stop": ["\n"]
}

其它资料下载

如果大家想继续了解人工智能相关学习路线和知识体系，欢迎大家翻阅我的另外一篇博客《重磅 | 完备的人工智能AI 学习——基础知识学习路线，所有资料免关注免套路直接网盘下载》

这篇博客参考了Github知名开源平台，AI技术平台以及相关领域专家：Datawhale，ApacheCN，AI有道和黄海广博士等约有近100G相关资料，希望能帮助到所有小伙伴们。