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What is ChatGPT Code Interpreter [+ Usage Examples]

ChatGPT Code Interpreter examples
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With the completion around, chatbots are rising day by day. Open AI has recently been at the top of the headlines with its new features with ChatGPT-4.

On July 6th, Open AI made an announcement on Twitter that caught the attention of programmers and data scientists all around the world.

On Twitter, OpenAI announced that all ChatGPT Plus users would be able to utilize Code Interpreter. Fast forward to today (July 17th), the world saw the release of the beta version of Code Interpreter. So if you live under a rock and don’t know about Code Interpreter, so allow me to take you through.

What is ChatGPT Code Interpreter?

The Code Interpreter is a tool that is part of ChatGPT, and it lets you do a lot of things like analyzing data, changing images, and editing code. It’s still being tested and improved as it moves from the Alpha to the Beta stage.

In this article, we are going to explore the possibilities and offerings of the new Code Interpreter. Plus, I’m also going to show you want the best people in their respective profession has to say about the new product. So, stay with me cause this is going to be a very interesting article.

So before we dive into the action, we need to know how to access the Code Interpreter.

How to Activate Code Interpreter on ChatGPT?

First thing first, in order to use features like Code Interpreter and Plugins, you need to be subscribed to ChatGPT Plus. A ChatGPT Plus will cost you $20 a month. So now, keeping in mind that you have a ChatGPT Plus, let’s activate Code Interpreter.

Step 1: Sign in to your Plus account.

Step 2: In the bottom left corner, you’ll find three dots; click on them.

Step 3: Click on Settings.

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Step 4: There, you have to choose Beta Features.

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Step 5: Enable “Code Interpreter”

How to Access Code Interpreter in ChatGPT?

After enabling “Code Interpreter” from the settings, follow these steps to work with the tool.

Step 1: At the top center, you’ll see two buttons: GPT-3.5 and GPT-4.

Step 2: Click on “GPT-4”.

Step 3: Then click on “Code Interpreter”.

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Just by following this simple step, you are good to go. So now that we have activated the tool. It’s time for us to utilize it. So allow me to take you through the possibilities of Code Interpreter.

Discover the Advanced Features of ChatGPT with Code Interpreter

If you’re working with data files like pictures and videos, you can easily manage your uploads and downloads using the code interpreter plugin. It supports different file formats, such as CSV and JSON, which is super helpful for computer vision tasks. 

What’s really cool about this tool is that it has the ability to analyze and learn from the outcomes of the code it runs. This means that it can identify and correct any errors it comes across. Connecting the execution of code with natural language understanding. 

With ChatGPT Plus, you can now take advantage of the powerful Code Interpreter plugin to accomplish a variety of tasks. You can easily analyze data sets, create charts and visualizations, edit files, run code, and perform mathematical calculations, all from within the ChatGPT interface.

Data Analysis

Code interpreter is changing the game when it comes to data analysis. What’s so great about it is that it allows for the interactive performance of complex data transformations, statistical analysis, and visualizations in a conversational way. This makes it much more engaging and approachable for non-technical users. I think it’s a great way to make data analysis more interesting and user-friendly.

Code Interpreter has completely changed the way I approach data analysis. It’s incredible how it simplifies complex tasks like statistical analysis, data transformations, and visualizations. And the best part is you can do all of this through a natural conversation.

It’s like having a personal data analyst right at your fingertips! (like the way you used to talk to ChatGPT). Moreover, making it easy for even non-tech heads to use it. 

The best example of the above information was demonstrated by Ethan Mollick. In the below picture, he showed the visualization created in Code Interpreter by a user who doesn’t know about Python. Isn’t it mindblowing?

Data Analysis

Also read: Kickstart your Career as Data Analyst with These Courses and Resources

SEO

Why should data scientists and programmers have all the fun? It’s time for the digital marketing team to taste Code Interpreter. While scrolling through Twitter, I saw some of the top professionals in the field have found some pretty unique ways to use it for SEO purposes.

So, the other day someone shared something on Twitter that really caught people’s attention. People were talking about it worldwide, and it got everyone curious. I thought I’d share a couple of the tweets with you.

I know that a lot of information is being shared here. Please take a moment to breathe as there is more information to come.

Extract Text from Images

Firstly, this and the forthcoming experiments were executed by Piotr Skalski. So the process of extracting texts from images is known as optical character recognition (OCR). Moreover, according to Skalski, it was a very straightforward task in their experiments.

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In this step, I used Code Interpreter to extract text from the image. Furthermore, once the text is highlighted/extracted, it could be fed to ChatGPT-4 to make the text more structured and organized. This is demonstrated in the next step. 

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Lastly, If you want to dig deep into this concept/experiment, check out Skalski’s GitHub profile and explore the steps to extract text from images

Face Detection

According to Sklaski, One of the most basic tasks in computer vision is face detection. In order to approach this, he chose to use the Haar Cascade classifier, a well-known technique made available by OpenCV.

Even while Haar Cascade is an effective face recognition method, it has certain limitations. It often produces inaccurate results and is not as accurate or trustworthy as contemporary neural network-based techniques.

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According to Sklaski, The code interpreter did an amazing job handling this challenge. When faced with the issue of false positives, he offered an in-depth prompt outlining what was taking place and his best hypothesis as to why. Amazingly, the code interpreter was able to get rid of the false positives with just one prompt.

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If you want to know more about face detection, check out the use of code interpreters for face detection.

Author’s Verdict

This is game-changing; keeping in mind that Code Interpreter is just in the Beta phase, you can get an idea of what’s about to come. The things mentioned in this article are just a peak of the iceberg. As the technology advances, there will be more features added. Lastly, the code interpreter plugin is a potent tool that can greatly expand ChatGPT’s capabilities.

Don’t worry; we will be working to bring you the best content on your screens. 

Next, check out what are ChatGPT plugins [+ usage examples].

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