吴恩达 GPT Prompting 课程
Prompting Guidelines 目录
- Guidelines for Prompting
- Prompting Principles
- Principle 1: Write clear and specific instructions
- 1.1: Use delimiters to clearly indicate distinct parts of the input
- 1.2: Ask for a structured output
- 1.3: Ask the model to check whether conditions are satisfied
- 1.4: "Few-shot" prompting
- Principle 2: Give the model time to “think”
- 2.1.1: Specify the steps required to complete a task
- 2.1.2 Ask for output in a specified format
- 2.2: Instruct the model to work out its own solution before rushing to a conclusion
- Model Limitations: Hallucinations
Guidelines for Prompting
In this lesson, you’ll practice two prompting principles and their related tactics in order to write effective prompts for large language models.
Prompting Principles
- Principle 1: Write clear and specific instructions
- Use delimiters to clearly indicate distinct parts of the input
- Ask for a structured output
- Ask the model to check whether conditions are satisfied
- “Few-shot” prompting
- Principle 2: Give the model time to “think”
- Specify the steps required to complete a task
- Ask for output in a specified format
- Instruct the model to work out its own solution before rushing to a conclusion
Principle 1: Write clear and specific instructions
1.1: Use delimiters to clearly indicate distinct parts of the input
- Delimiters can be anything like:
```, """, < >, <tag> </tag>, :
text = f"""
You should express what you want a model to do by \
providing instructions that are as clear and \
specific as you can possibly make them. \
This will guide the model towards the desired output, \
and reduce the chances of receiving irrelevant \
or incorrect responses. Don't confuse writing a \
clear prompt with writing a short prompt. \
In many cases, longer prompts provide more clarity \
and context for the model, which can lead to \
more detailed and relevant outputs.
"""
prompt = f"""
Summarize the text delimited by triple backticks \
into a single sentence.
```{text}```
"""
response = get_completion(prompt)
print(response)
GPT 返回结果:
To guide a model towards the desired output and reduce irrelevant or incorrect responses, it is important to provide clear and specific instructions, which can be achieved through longer prompts that offer more clarity and context.
1.2: Ask for a structured output
- JSON, HTML
prompt = f"""
Generate a list of three made-up book titles along \
with their authors and genres.
Provide them in JSON format with the following keys:
book_id, title, author, genre.
"""
response = get_completion(prompt)
print(response)
GPT 返回结果:
{"books": [{"book_id": 1,"title": "The Enigma of Elysium","author": "Evelyn Sinclair","genre": "Mystery"},{"book_id": 2,"title": "Whispers in the Wind","author": "Nathaniel Blackwood","genre": "Fantasy"},{"book_id": 3,"title": "Echoes of the Past","author": "Amelia Hart","genre": "Romance"}]
}
1.3: Ask the model to check whether conditions are satisfied
text_1 = f"""
Making a cup of tea is easy! First, you need to get some \
water boiling. While that's happening, \
grab a cup and put a tea bag in it. Once the water is \
hot enough, just pour it over the tea bag. \
Let it sit for a bit so the tea can steep. After a \
few minutes, take out the tea bag. If you \
like, you can add some sugar or milk to taste. \
And that's it! You've got yourself a delicious \
cup of tea to enjoy.
"""
prompt = f"""
You will be provided with text delimited by triple quotes.
If it contains a sequence of instructions, \
re-write those instructions in the following format:Step 1 - ...
Step 2 - …
…
Step N - …If the text does not contain a sequence of instructions, \
then simply write \"No steps provided.\"\"\"\"{text_1}\"\"\"
"""
response = get_completion(prompt)
print("Completion for Text 1:")
print(response)
GPT 返回结果:
Completion for Text 1:
Step 1 - Get some water boiling.
Step 2 - Grab a cup and put a tea bag in it.
Step 3 - Once the water is hot enough, pour it over the tea bag.
Step 4 - Let it sit for a bit so the tea can steep.
Step 5 - After a few minutes, take out the tea bag.
Step 6 - If you like, add some sugar or milk to taste.
Step 7 - Enjoy your delicious cup of tea.
text_2 = f"""
The sun is shining brightly today, and the birds are \
singing. It's a beautiful day to go for a \
walk in the park. The flowers are blooming, and the \
trees are swaying gently in the breeze. People \
are out and about, enjoying the lovely weather. \
Some are having picnics, while others are playing \
games or simply relaxing on the grass. It's a \
perfect day to spend time outdoors and appreciate the \
beauty of nature.
"""
prompt = f"""
You will be provided with text delimited by triple quotes.
If it contains a sequence of instructions, \
re-write those instructions in the following format:Step 1 - ...
Step 2 - …
…
Step N - …If the text does not contain a sequence of instructions, \
then simply write \"No steps provided.\"\"\"\"{text_2}\"\"\"
"""
response = get_completion(prompt)
print("Completion for Text 2:")
print(response)
GPT 返回结果:
Completion for Text 2:
No steps provided.
1.4: “Few-shot” prompting
prompt = f"""
Your task is to answer in a consistent style.<child>: Teach me about patience.<grandparent>: The river that carves the deepest \
valley flows from a modest spring; the \
grandest symphony originates from a single note; \
the most intricate tapestry begins with a solitary thread.<child>: Teach me about resilience.
"""
response = get_completion(prompt)
print(response)
GPT 返回结果:
: Resilience is like a mighty oak tree that withstands the strongest storms, bending but never breaking. It is the unwavering determination to rise again after every fall, and the ability to find strength in the face of adversity. Just as a diamond is formed under immense pressure, resilience is forged through challenges and hardships, making us stronger and more resilient in the process.
Principle 2: Give the model time to “think”
2.1.1: Specify the steps required to complete a task
text = f"""
In a charming village, siblings Jack and Jill set out on \
a quest to fetch water from a hilltop \
well. As they climbed, singing joyfully, misfortune \
struck—Jack tripped on a stone and tumbled \
down the hill, with Jill following suit. \
Though slightly battered, the pair returned home to \
comforting embraces. Despite the mishap, \
their adventurous spirits remained undimmed, and they \
continued exploring with delight.
"""prompt_1 = f"""
Perform the following actions:
1 - Summarize the following text delimited by triple \
backticks with 1 sentence.
2 - Translate the summary into French.
3 - List each name in the French summary.
4 - Output a json object that contains the following \
keys: french_summary, num_names.Separate your answers with line breaks.Text:
```{text}```
"""
response = get_completion(prompt_1)
print("Completion for prompt 1:")
print(response)
GPT 返回结果:
Completion for prompt 1:
1 - Jack and Jill, siblings, go on a quest to fetch water from a hilltop well, but encounter misfortune when Jack trips on a stone and tumbles down the hill, with Jill following suit, yet they return home and remain undeterred in their adventurous spirits.2 - Jack et Jill, frère et sœur, partent en quête d'eau d'un puits au sommet d'une colline, mais rencontrent un malheur lorsque Jack trébuche sur une pierre et dévale la colline, suivi de Jill, pourtant ils rentrent chez eux et restent déterminés dans leur esprit d'aventure.3 - Jack, Jill4 - {"french_summary": "Jack et Jill, frère et sœur, partent en quête d'eau d'un puits au sommet d'une colline, mais rencontrent un malheur lorsque Jack trébuche sur une pierre et dévale la colline, suivi de Jill, pourtant ils rentrent chez eux et restent déterminés dans leur esprit d'aventure.","num_names": 2
}
2.1.2 Ask for output in a specified format
prompt_2 = f"""
Your task is to perform the following actions:
1 - Summarize the following text delimited by <> with 1 sentence.
2 - Translate the summary into French.
3 - List each name in the French summary.
4 - Output a json object that contains the following keys: french_summary, num_names.Use the following format:
Text: <text to summarize>
Summary: <summary>
Translation: <summary translation>
Names: <list of names in Italian summary>
Output JSON: <json with summary and num_names>Text: <{text}>
"""
response = get_completion(prompt_2)
print("\nCompletion for prompt 2:")
print(response)
GPT 返回结果:
Completion for prompt 2:
Summary: Jack and Jill, siblings, go on a quest to fetch water from a hilltop well but encounter misfortune along the way.
Translation: Jack et Jill, frère et sœur, partent en quête d'eau d'un puits au sommet d'une colline mais rencontrent des malheurs en chemin.
Names: Jack, Jill
Output JSON: {"french_summary": "Jack et Jill, frère et sœur, partent en quête d'eau d'un puits au sommet d'une colline mais rencontrent des malheurs en chemin.", "num_names": 2}
2.2: Instruct the model to work out its own solution before rushing to a conclusion
prompt = f"""
Determine if the student's solution is correct or not.Question:
I'm building a solar power installation and I need \help working out the financials.
- Land costs $100 / square foot
- I can buy solar panels for $250 / square foot
- I negotiated a contract for maintenance that will cost \
me a flat $100k per year, and an additional $10 / square \
foot
What is the total cost for the first year of operations
as a function of the number of square feet.Student's Solution:
Let x be the size of the installation in square feet.
Costs:
1. Land cost: 100x
2. Solar panel cost: 250x
3. Maintenance cost: 100,000 + 100x
Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000
"""
response = get_completion(prompt)
print(response)
GPT 返回结果:
The student's solution is correct. They correctly identified the costs for land, solar panels, and maintenance, and calculated the total cost as a function of the number of square feet.
Note that the student’s solution is actually not correct.
We can fix this by instructing the model to work out its own solution first (or not).
prompt = f"""
Your task is to determine if the student's solution \
is correct or not.
To solve the problem do the following:
- First, work out your own solution to the problem.
- Then compare your solution to the student's solution \
and evaluate if the student's solution is correct or not.
Don't decide if the student's solution is correct until
you have done the problem yourself.Use the following format:
Question:question hereStudent's solution:
student's solution hereActual solution:steps to work out the solution and your solution hereIs the student's solution the same as actual solution \
just calculated:yes or noStudent grade:correct or incorrectQuestion:I'm building a solar power installation and I need help \
working out the financials.
- Land costs $100 / square foot
- I can buy solar panels for $250 / square foot
- I negotiated a contract for maintenance that will cost \
me a flat $100k per year, and an additional $10 / square \
foot
What is the total cost for the first year of operations \
as a function of the number of square feet.Let x be the size of the installation in square feet.
Costs:
1. Land cost: 100x
2. Solar panel cost: 250x
3. Maintenance cost: 100,000 + 100x
Total cost: 100x + 250x + 100,000 + 100x = 450x + 100,000Actual solution:response = get_completion(prompt)
print(response)
GPT 返回结果:
To calculate the total cost for the first year of operations, we need to add up the costs of land, solar panels, and maintenance.Let x be the size of the installation in square feet.Costs:
1. Land cost: $100 * x
2. Solar panel cost: $250 * x
3. Maintenance cost: $100,000 + $10 * xTotal cost: $100 * x + $250 * x + $100,000 + $10 * x = $360 * x + $100,000Is the student's solution the same as the actual solution just calculated:
NoStudent grade:
Incorrect
Model Limitations: Hallucinations
- Boie is a real company, the product name is not real.
prompt = f"""
Tell me about AeroGlide UltraSlim Smart Toothbrush by Boie
"""
response = get_completion(prompt)
print(response)
GPT 返回结果:
The AeroGlide UltraSlim Smart Toothbrush by Boie is a technologically advanced toothbrush designed to provide a superior brushing experience. Boie is a company known for its innovative oral care products, and the AeroGlide UltraSlim Smart Toothbrush is no exception.One of the standout features of this toothbrush is its ultra-slim design. The brush head is only 2mm thick, making it much thinner than traditional toothbrushes. This slim profile allows for better access to hard-to-reach areas of the mouth, ensuring a thorough and effective clean.The AeroGlide UltraSlim Smart Toothbrush also incorporates smart technology. It connects to a mobile app via Bluetooth, allowing users to track their brushing habits and receive personalized recommendations for improving their oral hygiene routine. The app provides real-time feedback on brushing technique, ensuring that users are brushing for the recommended two minutes and covering all areas of their mouth.The toothbrush itself is made from a durable and hygienic material called thermoplastic elastomer. This material is non-porous, meaning it doesn't harbor bacteria or mold, making it more hygienic than traditional toothbrush bristles. The bristles are also ultra-soft, providing a gentle yet effective clean without causing any damage to the gums or enamel.In addition to its technological features, the AeroGlide UltraSlim Smart Toothbrush is also eco-friendly. It is designed to last for up to six months, reducing the need for frequent replacements. The brush head is also replaceable, further reducing waste.Overall, the AeroGlide UltraSlim Smart Toothbrush by Boie offers a combination of advanced technology, slim design, and eco-friendly features. It aims to provide users with a superior brushing experience, helping them maintain optimal oral health.
相关文章:
吴恩达 GPT Prompting 课程
Prompting Guidelines 目录 Guidelines for PromptingPrompting Principles Principle 1: Write clear and specific instructions1.1: Use delimiters to clearly indicate distinct parts of the input1.2: Ask for a structured output1.3: Ask the model to check whether …...
gpt3.5写MATLAB代码剪辑视频,使之保留画面ROI区域
% 输入和输出文件名 inputVideoFile input_video.mp4; outputVideoFile output_video.mp4;% 创建 VideoReader 和 VideoWriter 对象 videoReader VideoReader(inputVideoFile); outputVideo VideoWriter(outputVideoFile, MPEG-4); outputVideo.FrameRate videoReader.Fra…...
设计模式二十一:状态模式(State Pattern)
一个对象的内部状态发生变化时,允许对象改变其行为。这种模式使得一个对象看起来好像在运行时改变了它的类,主要目的是将状态的行为从主要对象中分离出来,使得主要对象不必包含所有状态的逻辑,而是将每个状态的行为封装在独立的类…...

【校招VIP】产品思维能力之产品设计
考点介绍: 对于产品经理来说最重要的就是产品思维,而拥有一个好的产品思维需要做到以下三点: 1、把握关键点的能力 2、出方案,协调资源,说服团队把资源倾斜到关键点上的能力 3、评估关键点进展程度的能力 『产品思维能…...

微信小程序卡片横向滚动竖图
滚动并不是使用swiper,该方式使用的是scroll-view实现 Swiper局限性太多了,对竖图并不合适 从左往右滚动图片示例 wxml代码: <view class"img-x" style"margin-top: 10px;"><view style"margin: 20rpx;…...

SpringBoot项目(支付宝整合)——springboot整合支付宝沙箱支付 从极简实现到IOC改进
目录 引出git代码仓库准备工作支付宝沙箱api内网穿透 [natapp.cn](https://natapp.cn/#download) springboot整合—极简实现版1.导包配置文件2.controller层代码3.进行支付流程4.支付成功回调 依赖注入的改进1.整体结构2.pom.xml文件依赖3.配置文件4.配置类,依赖注入…...

【AIGC】一款离线版的AI智能换脸工具V2.0分享(支持图片、视频、直播)
随着人工智能技术的爆发,AI不再局限于大语言模型,在图片处理方面也有非常大的进步,其中AI换脸也是大家一直比较感兴趣的,但这个技术的应用一直有很大的争议。 今天给大家分享一个开源你的AI换脸工具2.0,只需要一张所需…...
管理类联考——逻辑——真题篇——按知识分类——汇总篇——一、形式逻辑——选言——相容选言——或
文章目录 第五章 选言命题:相容选言-或;不相容选言-要么要么第一节 选言-相容选言-或-推结论-A或B为真,则非A→B,非B→A(否一则肯一)真题(2010-28)-选言-相容选言-或-推结论-(1)A或B为真,A为假:得B为真(否一则肯一);真题(2012-29)-选言-相容选言-或-推结论-(1)…...

Git如何操作本地分支仓库?
基本使用TortoiseGit 操作本地仓库(分支) 分支的概念 几乎所有的版本控制系统都以某种形式支持分支。 使用分支意味着你可以把你的工作从开发主线上分离开来,避免影响开发主线。多线程开发,可以同时开启多个任务的开发,多个任务之间互不影响。 为何要…...

WPS右键新建没有docx pptx xlsx 修复
解决wps右键没有新建文档的问题 右键没有新建PPT和Excel 1 wps自带的修复直接修复没有用 以上不管咋修复都没用 2 先编辑注册表 找到 HKEY_CLASSES_ROOT CTRLF搜文件扩展名 pptx docx xlsx 新建字符串 三种扩展名都一样操作 注册表编辑之后再次使用wps修复 注册组件&am…...

【巧学C++之西游篇】No.2 --- C++闹天宫,带着“重载“和“引用“
文章目录 前言🌟一、函数重载🌏1.1.函数重载概念🌏1.2.C支持函数重载的原理 -- 名字修饰 🌟二、引用🌏2.1.引用的概念🌏2.2.引用特性🌏2.3.常引用🌏2.4.使用场景🌏2.5.传…...
【HarmonyOS】实现将pcm音频文件进行编码并写入文件(API6 Java)
【关键字】 音频编码、管道模式、createEncoder 【写在前面】 在使用API6开发HarmonyOS应用时,如何将pcm源文件进行编码并写入文件,最后生成aac文件,本文直接附上主要代码开发步骤供大家参考。 【主要功能代码】 import ohos.media.codec.…...

KaiwuDB CTO 魏可伟:回归用户本位,打造“小而全”的数据库
8月16日,KaiwuDB 受邀亮相第十四届中国数据库技术大会 DTCC 2023。KaiwuDB CTO 魏可伟接受大会主办方的采访,双方共同围绕“数据库架构演进、内核引擎设计以及不同技术路线”展开深度探讨。 以下是采访的部分实录 ↓↓↓ 40 多年前,企业的数…...

行业追踪,2023-08-22
自动复盘 2023-08-22 凡所有相,皆是虚妄。若见诸相非相,即见如来。 k 线图是最好的老师,每天持续发布板块的rps排名,追踪板块,板块来开仓,板块去清仓,丢弃自以为是的想法,板块去留让…...

浏览器安装selenium驱动,以Microsoft Edge安装驱动为例
Selenium是一个用于Web应用程序测试的自动化工具。它可以直接在浏览器中运行,模拟真实用户对浏览器进行操作。利用selenium,可以驱动浏览器执行特定的动作,比如:点击、下拉等等,还可以获取浏览器当前呈现的页面的源代码…...

边缘计算网关是如何提高物联网的效率的?
随着物联网的持续发展,物联网应用的丰富和规模的扩大,带来了海量的数据处理、传输和计算需求。 传统的“数据中央处理”模式越来越难以适应物联网的扩展速度,在这一趋势下,边缘计算在物联网系统的部署运营中就发挥出了显著的增效…...

AWVS安装~Windows~激活
目录 1.下载安装包 2.双击acunetix_15.1.221109177.exe进行安装 3.配置C:\Windows\System32\drivers\etc\hosts 4.复制wvsc.exe到C:\Program Files (x86)\Acunetix\15.1.221109177下 5.复制license_info.json与wa_data.dat到C:\ProgramData\Acunetix\shared\license下&…...
ATFX汇市:杰克逊霍尔年会降至,鲍威尔或再发鹰派言论
环球汇市行情摘要—— 昨日,美元指数下跌0.11%,收盘在103.33点, 欧元升值0.22%,收盘价1.0898点; 日元贬值0.58%,收盘价146.23点; 英镑升值0.18%,收盘价1.2757点; 瑞…...
Zipkin开源的分布式链路追踪系统
Zipkin是一款开源的分布式链路追踪系统,主要功能包括: 1. 采集跟踪数据 - Zipkin client库负责收集并上报各服务的请求信息。 2. 存储跟踪数据 - 存储层默认采用Zipkin自带的基于内存的快速存储,也支持整合MySQL、Cassandra等外部存储。 3. 查询接口 - 提供RESTful API进行跟…...

java 项目运行时,后端控制台出现空指针异常---java.lang.NullPointerException
项目场景: 提示:这里简述项目背景: 场景如下: java 项目运行时,后端控制台出现如下图所示报错信息:— 问题描述 提示:这里描述项目中遇到的问题: java 项目运行时,后…...

未来机器人的大脑:如何用神经网络模拟器实现更智能的决策?
编辑:陈萍萍的公主一点人工一点智能 未来机器人的大脑:如何用神经网络模拟器实现更智能的决策?RWM通过双自回归机制有效解决了复合误差、部分可观测性和随机动力学等关键挑战,在不依赖领域特定归纳偏见的条件下实现了卓越的预测准…...

大型活动交通拥堵治理的视觉算法应用
大型活动下智慧交通的视觉分析应用 一、背景与挑战 大型活动(如演唱会、马拉松赛事、高考中考等)期间,城市交通面临瞬时人流车流激增、传统摄像头模糊、交通拥堵识别滞后等问题。以演唱会为例,暖城商圈曾因观众集中离场导致周边…...

基于Flask实现的医疗保险欺诈识别监测模型
基于Flask实现的医疗保险欺诈识别监测模型 项目截图 项目简介 社会医疗保险是国家通过立法形式强制实施,由雇主和个人按一定比例缴纳保险费,建立社会医疗保险基金,支付雇员医疗费用的一种医疗保险制度, 它是促进社会文明和进步的…...
【git】把本地更改提交远程新分支feature_g
创建并切换新分支 git checkout -b feature_g 添加并提交更改 git add . git commit -m “实现图片上传功能” 推送到远程 git push -u origin feature_g...
相机Camera日志分析之三十一:高通Camx HAL十种流程基础分析关键字汇总(后续持续更新中)
【关注我,后续持续新增专题博文,谢谢!!!】 上一篇我们讲了:有对最普通的场景进行各个日志注释讲解,但相机场景太多,日志差异也巨大。后面将展示各种场景下的日志。 通过notepad++打开场景下的日志,通过下列分类关键字搜索,即可清晰的分析不同场景的相机运行流程差异…...
爬虫基础学习day2
# 爬虫设计领域 工商:企查查、天眼查短视频:抖音、快手、西瓜 ---> 飞瓜电商:京东、淘宝、聚美优品、亚马逊 ---> 分析店铺经营决策标题、排名航空:抓取所有航空公司价格 ---> 去哪儿自媒体:采集自媒体数据进…...

热烈祝贺埃文科技正式加入可信数据空间发展联盟
2025年4月29日,在福州举办的第八届数字中国建设峰会“可信数据空间分论坛”上,可信数据空间发展联盟正式宣告成立。国家数据局党组书记、局长刘烈宏出席并致辞,强调该联盟是推进全国一体化数据市场建设的关键抓手。 郑州埃文科技有限公司&am…...

Mac flutter环境搭建
一、下载flutter sdk 制作 Android 应用 | Flutter 中文文档 - Flutter 中文开发者网站 - Flutter 1、查看mac电脑处理器选择sdk 2、解压 unzip ~/Downloads/flutter_macos_arm64_3.32.2-stable.zip \ -d ~/development/ 3、添加环境变量 命令行打开配置环境变量文件 ope…...

鸿蒙Navigation路由导航-基本使用介绍
1. Navigation介绍 Navigation组件是路由导航的根视图容器,一般作为Page页面的根容器使用,其内部默认包含了标题栏、内容区和工具栏,其中内容区默认首页显示导航内容(Navigation的子组件)或非首页显示(Nav…...

C++中vector类型的介绍和使用
文章目录 一、vector 类型的简介1.1 基本介绍1.2 常见用法示例1.3 常见成员函数简表 二、vector 数据的插入2.1 push_back() —— 在尾部插入一个元素2.2 emplace_back() —— 在尾部“就地”构造对象2.3 insert() —— 在任意位置插入一个或多个元素2.4 emplace() —— 在任意…...