For writing and coding jobs that go beyond simple communication, Canvas ChatGPT is a brand-new ChatGPT interface. While Canvas opens in a separate window, you can use ChatGPT to work on a project. Instead of just talking, this early beta offers a novel approach to teamwork that entails idea generation and improvement side by side.
In beta, Canvas was built with GPT-4o and can be manually selected in the model selection. Canvas is now available to ChatGPT Plus and Team members globally thanks to OpenAI. Enterprise and Edu users will have present access. Additionally, Canvas plans to make itself available to all ChatGPT Free users once its beta release.
Better collaboration with ChatGPT
People use ChatGPT every day to get help with writing and coding. The chat interface is limited while working on projects that require editing and modifications, even though it is easy to use and efficient for a range of jobs. Canvas ChatGPT is a new interface for this kind of work.ChatGPT can better understand the context of your task when you use canvas. You can highlight specific areas to tell ChatGPT exactly what you want it to focus on. Like a copy editor or code reviewer, it can offer inline comments and suggestions while maintaining the project's overall focus.
You are in charge of the project in Canvas ChatGPT. You can directly edit text or code. Using the shortcut menu, you can instruct ChatGPT to quickly debug your code, adjust the duration of your writing, and perform other useful activities. Additionally, you can recover previous versions of your work by using the canvas's back button.
ChatGPT opens instantly when it detects a scenario in which Canvas ChatGPT can be helpful. You can also add "use canvas" to your prompt to start Canvas and work on an already-existing project.
Writing shortcuts include:
- Provide recommendations for edits: ChatGPT offers recommendations and comments inline.
- The length can be changed to make the document longer or shorter.
- From elementary school to college, the reading level can be changed.
- Proofread for grammar, clarity, and consistency to add the final touch.
- Adding emojis: adds color and intensity by using the right emojis.
Coding on canvas
Because coding is an iterative process, it can be difficult to stay on top of all the changes made to your code in chat. Canvas ChatGPT makes it easier to track and understand ChatGPT's developments, and it plans to continue improving transparency in these kinds of changes.Shortcuts for coding include:
- Review your code: ChatGPT provides inline suggestions to assist you in improving it.
- Add logs: This helps with debugging and understanding by adding print statements to your code.
- Add comments: Include comments in the code to make it easier to read.
- Fix bugs: Finds and fixes faults in troublesome code.
- Translate your code to one of the following languages: Python, Java, C++, PHP, JavaScript, or TypeScript.
Making the model a cooperative partner
GPT-4o was taught to collaborate creatively. The model knows when to open a canvas, make certain adjustments, and then begin again. It also understands the broader context to provide accurate remarks and suggestions.To support this, the OpenAI research team developed the following core behaviors:
- Activating Canvas ChatGPT for coding and writing
- Creating a variety of content
- Making specific modifications
- Document rewriting
- Giving in-line criticism
One of the biggest problems was figuring out when to start a Canvas ChatGPT. OpenAI trained the model to open a canvas for prompts such as "Write a blog post about the history of coffee beans" to avoid over-triggering for general Q&A assignments. "Assist me in preparing a new dinner recipe." In contrast to a baseline zero-shot GPT-4o with prompted instructions, it achieved 83% on writing tasks by prioritizing the improvement of "correct triggers" (at the price of "correct non-triggers").
It should be noted that the quality of these baselines is greatly influenced by the prompt that is used. When given various prompts, the baseline can still perform poorly, but in a different way. For instance, it might be equally inaccurate on writing and coding tasks, resulting in a distinct distribution of errors and other unsatisfactory performance. It deliberately skewed the model against triggering for coding in order to avoid disturbing its power users. OpenAI continues to refine this based on feedback from users.
A second problem was figuring out when to make a specific modification rather than rewriting the entire thing: optimizing the model's editing behavior when the canvas was turned on. The model was taught to perform specific changes when users selected text directly through the interface; otherwise, it preferred rewrites. This behavior continues to evolve as the model gets better.
Finally, training the model to generate high-quality comments required careful iteration. Compared to the first two scenarios, which can easily be converted to automated evaluation with significant manual evaluations, it is more challenging to measure quality in an automated manner. As a result, it used human judgment to assess the comments' quality and correctness. When compared to zero-shot prompting with precise instructions, the OpenAI integrated canvas model performs 30% better in accuracy and 16% better in quality, demonstrating that synthetic training greatly improves response quality and behavior.
What comes next?
To make it more useful and accessible, its relationships with AI must be rethought. The first major visual interface update for ChatGPT since its inception two years ago is Canvas ChatGPT, which is a revolutionary approach.Canvas is now in early beta, and OpenAI plans to rapidly expand its capabilities.
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