Collaborative Writing and Coding with OpenAI Canvas
Instructor: Karina Nguyen
- Beginner
- 50 Minutes
- 7 Video Lessons
- 2 Code Examples
- Instructor: Karina Nguyen
What you'll learn
Learn to write and code more effectively with OpenAI Canvas, using features like targeted editing, in-line feedback, changing the reading level, final polish, reviewing code, and fixing bugs.
Learn how to build practical use cases like creating a game app, generating Python code from plot screenshots, and creating SQL databases from architecture images.
Gain knowledge of how GPT-4o was trained to bring the OpenAI Canvas features and functionalities to life.
About this course
Explore a new way to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course Collaborative Writing and Coding with OpenAI Canvas, taught by Karina Nguyen, research lead at OpenAI, you’ll learn how to use this tool to enhance your writing and coding.
Canvas provides a side-by-side workspace where you and ChatGPT can collaboratively edit and refine text or code. This makes brainstorming, drafting, and iterating on the text feel more natural and effective.
For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logs, identifying problems to fix, and writing comments for your code.
This course will teach you how to make the most of the new interactive Canvas workspace and tools to make your writing more flexible, more efficient, and a lot more fun as you go behind the scenes with examples of the different use cases and learn what it takes to train the model to powers Canvas’s features and functionalities.
In this video-only short course, you’ll:
- Learn how to ask for in-line feedback and control the iteration of your creative work by directly editing selected areas of your text or code from the model’s output.
- Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work.
- Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the report.
- Extend its use case by asking the model to write Python code to replicate the graph seen on a screenshot image.
- Go behind the scenes of how you can create a video game such as Space Battleship from scratch, edit it, and display it in one self-contained HTML file.
- Get a real-world application example of creating a SQL database from the image of its architecture.
- Understand the model training and design processes that power Canvas.
By the end of this course, you’ll learn about all the possibilities that the new Canvas interface can bring to your writing and coding workflow.
Who should join?
Anyone who wants to learn how to use the new OpenAI Canvas interface to write and code better.
Course Outline
7 Lessons・2 Code ExamplesIntroduction
Video・2 mins
Collaborative Writing
Video・11 mins
Collaborative Coding
Video・14 mins
Build a Spaceship Game
Video・8 mins
Create SQL Database from Architecture Image
Video・4 mins
Training the Canvas
Video・8 mins
Conclusion
Video・1 min
Free Canvas Access and Prompt Copies
Code examples・1 min
Appendix – Tips and Help
Code examples・1 min
Instructor
Karina Nguyen
Research Lead at OpenAI
Collaborative Writing and Coding with OpenAI Canvas
- Beginner
- 50 Minutes
- 7 Video Lessons
- 2 Code Examples
- Instructor: Karina Nguyen
Course access is free for a limited time during the DeepLearning.AI learning platform beta!
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