Code analysis 2023-05-04
Code Interpreter by OpenAI icon

Code Interpreter by OpenAI

Explaining programming code.
Generated by ChatGPT

ChatGPT plugins are a new feature that allows language models to access up-to-date information, run computations, and use third-party services through specific tools designed for ChatGPT with safety as a core principle.

These plugins are gradually being rolled out by OpenAI, with a small set of users invited to start and gradually increasing access as more is learned about their use and safety.

ChatGPT users and API users will eventually be able to integrate plugins into their products. The plugin developers invited off the waitlist can use the documentation to build plugins, which enable ChatGPT to use various third-party services or access specific information.

Currently, there are plugins in development by companies, such as Expedia, Instacart, and Wolfram, as well open-source plugins available. Plugins can act as the "eyes and ears" of language models, enabling them to access personalized, timely, or specific information that is not included in the training data.

ChatGPT plugins are intended to unlock a vast range of potential use cases and facilitate human-AI interactions as a community shapes the future of this paradigm.


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May 31, 2023
It doesn't exist. Your 'Visit Website' link takes one to the OpenAI landing page, from which I tried umpteem times to find anything to do with `Code Interpreter`.

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Code Interpreter by OpenAI was manually vetted by our editorial team and was first featured on May 4th 2023.
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Pros and Cons


Access to third-party services
Expanding use-case potential
Safety a core principle
Up-to-date information access
Facilitates code analysis
Integration in existing products
Plugin documentation availability
Community shaping
Unlocking various use cases
Code interpreter feature
Interactive browsing feature
Improve model responses
Explicit access to external data
Evidence-based references
Mitigates overreliance risks
Risk restriction via safeguards
Red-teaming exercises for safety
User experience transparency
Gradual deployment for safety
Custom plugin-creation capability
Iterative deployment philosophy
Useful for data analysis
Useful for file format conversion
Supports mathematical problem solving
Access information too recent/personal/specific for training data
Plugins perform safe constrained actions
Integration into other applications
Improved usefulness of system overall
Real-time data retrieval
Interaction with thousands of apps
Plugin for web browsing
Plugin for code interpreting
Gradual rollout for larger-scale access
Isolated service usage for browsing
Honors website robots.txt files
Rate-limiting to avoid excessive traffic
Interaction transparency with source citation
Integration of Python interpreter
Ephemeral disk space provision
Persistent session for code execution
Supports file uploads and downloads
Secured environment for code execution
Strict network controls
Functionalities beyond existing limitations


Limited to GET requests
Dependent on Bing API
Occasional 'click failed' errors
Doesn't support form submissions
Honor to website's robots.txt
Lack of existing open standards
Gradual increase of access
Current limited number of plugins
Sandboxed execution of code
Dependent on third-party services


What is the Code Interpreter by OpenAI?
What is the function of the ChatGPT plugin in Code Interpreter?
How secure is the use of plugins in Code Interpreter?
Can the Code Interpreter analyze any type of programming code?
How can I integrate plugins into my product as an API user?
Will the ChatGPT plugins improve my interaction with the AI?
Can I build my own plugins for ChatGPT?
Which companies are currently developing plugins for ChatGPT?
How are plugins beneficial for language models?
How does Code Interpreter ensure safety while using third-party services?
What are the potential use cases of ChatGPT plugins?
Are there any open-source plugins available for ChatGPT?
What is the role of the chatbot while using plugins?
Are there any standards that OpenAI follows while creating plugins for language models?
What are the safety and alignment challenges faced with the rollout of these plugins?
What kind of documentation is required to build a plugin?
Can the plugins perform complex code computations?
What measures are taken for safety and data privacy while using the retrieval plugin in ChatGPT?
Which are the third-party plugins supported by Code Interpreter and how do they work?
How can developers create their own plugins for ChatGPT?

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