从0到1快速入门高级推文分类器应用场景
- 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。
ChatGPT可以用来创建高级推文分类器，来帮助你进行分类管理。它可以帮助你跟踪、分析和自动化推文，以帮助提高效率并有效地进行分类管理。另外，ChatGPT还能够根据你的活动对推文进行分类，以便你可以根据关键词或主题快速找到相关推文。
Introduce 简介
Advanced tweet classifier 高级推文分类器
This is an advanced prompt for detecting sentiment. It allows you to provide it with a list of status updates and then provide a sentiment for each one.
这是检测情绪的高级提示。它允许您提供状态更新列表，然后为每个状态更新提供一个情绪。
setting 设置
Engine：text-davinci-003
Max tokens：60
Temperature：0
Top p：1.0
Frequency penalty：0.0
Presence penalty：0.0
Prompt 提示
Sample response 回复样本
API request 接口请求
python接口请求示例
import os
import openaiopenai.api_key = os.getenv("OPENAI_API_KEY")response = openai.Completion.create(model="text-davinci-003",prompt="Classify the sentiment in these tweets:\n\n1. \"I can't stand homework\"\n2. \"This sucks. I'm bored 😠\"\n3. \"I can't wait for Halloween!!!\"\n4. \"My cat is adorable ❤️❤️\"\n5. \"I hate chocolate\"\n\nTweet sentiment ratings:",temperature=0,max_tokens=60,top_p=1.0,frequency_penalty=0.0,presence_penalty=0.0
)
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: "Classify the sentiment in these tweets:\n\n1. \"I can't stand homework\"\n2. \"This sucks. I'm bored 😠\"\n3. \"I can't wait for Halloween!!!\"\n4. \"My cat is adorable ❤️❤️\"\n5. \"I hate chocolate\"\n\nTweet sentiment ratings:",temperature: 0,max_tokens: 60,top_p: 1.0,frequency_penalty: 0.0,presence_penalty: 0.0,
});
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": "Classify the sentiment in these tweets:\n\n1. \"I can't stand homework\"\n2. \"This sucks. I'm bored 😠\"\n3. \"I can't wait for Halloween!!!\"\n4. \"My cat is adorable ❤️❤️\"\n5. \"I hate chocolate\"\n\nTweet sentiment ratings:","temperature": 0,"max_tokens": 60,"top_p": 1.0,"frequency_penalty": 0.0,"presence_penalty": 0.0
}'
json格式示例
{"model": "text-davinci-003","prompt": "Classify the sentiment in these tweets:\n\n1. \"I can't stand homework\"\n2. \"This sucks. I'm bored 😠\"\n3. \"I can't wait for Halloween!!!\"\n4. \"My cat is adorable ❤️❤️\"\n5. \"I hate chocolate\"\n\nTweet sentiment ratings:","temperature": 0,"max_tokens": 60,"top_p": 1.0,"frequency_penalty": 0.0,"presence_penalty": 0.0
}
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。
本文链接：https://my.lmcjl.com/post/9585.html
4 评论