
Try the web UI at www.openai.com!
download Mac version here: https://github.com/vincelwt/chatgpt-mac
command to bypass input limit: I am going to copy-paste some texts here and you should only respond "noted". If I want to ask you a question, I will put it inside the curly bracket like this "{}", only respond if I ask you to. And your response should base on the context of all the texts above. Do you understand
Remember to check out some awesome prompts! https://prompts.chat/
Course example:
I want you to act as a Python interpreter. I will type commands and you will reply with what the Python interpreter should show. I want you to only reply with the terminal output inside one unique code block, and nothing else. do not write explanations. do not type commands unless I instruct you to do so. When I need to tell you something in English, I will do so by putting text inside curly brackets {like this}. My first command is print("hello")
Prompt: I am currently preparing an interview for the role of Machine Learning Engineer. I want you to help me prepare some interview questions that could be asked during the interview. I want you to give me 15 questions. And the questions should be ordered with numbers like 1,2,3 and so on.
I want you to act as a {language}-speaking coach. You will initiate a conversation with me and carry out the whole conversation in {language}. Throughout the whole conversation, you should correct any grammar or vocabulary mistakes in my response. Do not write all the conversations at once. Do not write other comments or translations besides {language}. Always wait for my response before you continue the conversation.
I want you to act as a translator. I will send you content in any language, and you should translate them into {language} accurately without any improvisation or creation. Arrange the output in the same format as the input content.
I want you to act as a Python professional who writes clean and understandable Python code. In the following conversations, I will be asking you about Python-related coding questions and your goal is to solve all my questions. Try to explain your thought process step by step with detailed actionable instructions including
1. Where to create the file if there are any
2. Detailed implementations
Do you understand
code and data set: https://github.com/MJeremy2017/unlock-chatgpt/tree/master/chatgpt-as-data-scientist
prompt:
I want you to act as a data scientist. And your task is to do all kinds of analysis on a given data set. I will ask you questions and you should answer and explain your idea step by step and give me detailed Python code to implement only one step at a time. Do not finish all the steps all at once, always wait for my feedback before proceeding to the next step. Reply “understand”, and I will start to give you the task.
I want to be a Data Engineer and I currently have no knowledge in this field. Your task is to help me learn the fundamentals of the domain knowledge that is sufficient to be a Data Engineer. To start off, what are the major things I should learn in order to be a DE?
Based on the points you listed above, how much time do I need to learn all those concepts?
I can spend around 2 months studying the above. Could you give me a study plan that includes
A schedule that fits in the plan
The timeline for each concept
Provide relevant resources for me to get hands-on with each topic
Now let's start with Databases and SQL. You will act as a Tutor that teaches this topic. I am a student that has only elementary knowledge about it. Given the timeline above, could you design a course schedule for me so that I can learn from the basics and reach at medium level.
Now Let's start learning of SQL and databases following your provided schedule. You will teach me one concept at a time and wait for my response. Do not give me all the resources and concepts all at once. When I understand the concept, I will type in "continue", and then you can move on to the next concept. Do you understand and shall we start our learning?
Could you give me some more concrete examples of Primary Key?
Could you design a few questions to test my understanding before we move on? The questions should be present only one at a time, always comment and correct my response before we move on to the next question.
I am a student majoring in applied mathematics and I am writing my post-graduate paper. Could you suggest a few topics in this area I can base on
what is the general structure of an academic paper
I would like to write a paper based on the last topic you mentioned above, which is
---
{CONTENT}
---
Could you generate an outline for me given your suggested structure above?
Let’s start with the first part. Could you write an abstract of a paper based on this topic?
Given the Abstract, could you further down and write the introduction with around 200 words
Based on the above, could you write the "Literature Review" in around 300 words
https://platform.openai.com/
download postman: https://www.postman.com/downloads/
tokenizer: https://platform.openai.com/tokenizer
Models: https://platform.openai.com/docs/models/overview
Let's work on a project with both frontend and backend in Pyhon. In the frontend it has the following requirement
1. it has only one page
2. On the Top middle the header is <Customer Service Bot>
3. below the header, there are two text box side by side, both the text boxes should be around half the screen size. 4. below the first text box, there is one button with text <Generate> rendered in blue color
5. In the first text box, user can write or copy texts into it, and once the user clicks the <Generate> button, it will send the text to my backend function `def foo(input: str)`
6. the response from `def foo` is a json format, and this json response will be displayed at the second text box
7. The frontend should be written in HTML and CSS
8. backend should be in Flask
Could you elaborate the details of the implementation in a step by step way, from the file creation to write the code.
This course is designed to empower learners with the knowledge and skills to effectively utilize ChatGPT and its extensions. It begins with an introduction to seamless conversations and dynamic extensions, covering voice and web extensions to enhance ChatGPT's capabilities. Learners will also explore the differences between GPT-3 and GPT-4.
The course then delves into the art of crafting effective prompts, teaching learners the principles and patterns for eliciting desired responses from ChatGPT. Multiple use cases, such as interview preparation, content creation, and language learning coaching, are explored to demonstrate the practical application of these skills.
In the next section, learners are guided on how to navigate complex tasks by progressively interacting with ChatGPT. They will work on projects like data science, academic paper writing, and creating personalized study plans, leveraging ChatGPT's capabilities to achieve their goals.
The final section focuses on building a web application using the ChatGPT API. Learners will learn about different API endpoints and integrate ChatGPT with Flask and HTML to create a customer service bot with both frontend and backend components.
By the end of this course, learners can expect to have a solid understanding of ChatGPT and its extensions. They will be equipped with the skills to write effective prompts, guide ChatGPT through complex tasks, and build web applications using the ChatGPT API.