Site icon Aragon Research

OpenAI Introduces Code Interpreter Plugin for ChatGPT

By Adam Pease

OpenAI Introduces Code Interpreter Plugin for ChatGPT

OpenAI announced that it was rolling out its beta plugins to all paying users of ChatGPT last week. Among available plugins is a code interpreter tool, which enables ChatGPT to process code directly within the application. This blog discusses the news and its implications for AI.

What Is Code Interpreter?

OpenAI has recently introduced an exciting new plugin for ChatGPT, expanding its capabilities and offering users a more dynamic and interactive coding experience. This plugin equips ChatGPT with a working Python interpreter in a secure and isolated environment, enabling it to solve a wide range of mathematical problems, conduct data analysis and visualization, and facilitate file format conversions.

While ChatGPT has been well-known for its ability to generate code from natural language inputs, this plugin takes it a step further by presenting the results within a dialogue box. This altered format enhances the interaction between users and the model, making it even more versatile and practical.

What’s Next For ChatGPT?

With the introduction of the code interpreter plugin, ChatGPT is evolving into a comprehensive application suite that utilizes chat as an interface to accomplish various tasks. This expansion opens up a world of possibilities for future developments and enhancements.

One potential direction for ChatGPT is to further refine and expand its coding capabilities. As the plugin matures, we can anticipate improvements in the model’s ability to handle complex code logic, integrate with external libraries and frameworks, and provide more advanced debugging and error handling functionalities.

Additionally, OpenAI may explore the integration of other programming languages beyond Python. Supporting multiple languages would broaden the appeal of ChatGPT and cater to a wider range of users with different language preferences and requirements. As more plugin functionality is incorporated, ChatGPT may absorb the capabilities of other critical business applications, providing a one-stop shop for many application features.

Bottom Line

OpenAI’s code interpreter plugin for ChatGPT enhances coding capabilities by enabling Python code execution, math problem solving, data analysis, and file format conversions. It paves the way for future developments in language model interfaces, which will continue to capture traditional application functions through integrations like plugins.


Don’t Forget to Sign Up for our next #TransformTour23:

AI Everywhere — Going ChatGPT on June 15th | 10 AM PT / 1 PM ET

Transform Tour 2023: AI Everywhere—Going ChatGPT

Since the launch of OpenAI’s GPT service, organizations have been scrambling to put out their own copilot service. In our June Transform Tour, taking place on Thursday, June 15, 2023, we will discuss how Copilots work and how you can define a strategy to support digital labor.

Register Today


This blog on is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 1: RunwayML Foreshadows the Future of Content Creation

Blog 2: NVIDIA Enters the Text-to-Image Fray

Blog 3: Will OpenAI’s New Chatbot Challenge Legacy Search Engines?

Blog 4: Adobe Stock Accepts Generative Content and Meets Backlash

Blog 5: OpenAI Makes a Move for 3D Generative Content with Point-E

Blog 6: ChatGPT and the Problem of Detecting AI-Generated Content

Blog 7: Content AI: Voice AI Takes a Step Forward

Blog 8: AI in the Courtroom: Are Robot Lawyers the Future of Law?

Blog 9: GitHub Copilot and the Legality of Generative Content

Blog 10: Google Steps into the Chat AI Ring with Bard, Anthropic Investment

Blog 11: Exploring Google Bard’s Botched Demo

Blog 12: Meta AI Is Working at the Intersection of Robotics and Generative AI

Blog 13: Meta’s New AI Model Leaks

Blog 14: Students in China Use ChatGPT from Behind the Firewall

Blog 15: OpenAI’s ChatGPT API Will Transform Application Experiences

Blog 16: Microsoft Announces Copilot X, GPT-4 Integration

Blog 17: BloombergGPT Brings Generative AI to Finance

Blog 18: Stability AI Releases Its First Large Language Model: StableLM

Blog 19: OpenAI to Patent ‘GPT’

Blog 20: Pinecone and the Power of Vector Databases for AI

Blog 21: Alphabet Plans New Generative AI Announcements for Google I/O

Blog 22: Europe Moves to Regulate Generative AI

Exit mobile version