15,287
Code analysis
2023-05-04
Explaining programming code.
Overview
Code analysis#13 most recent
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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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Comments(1)
Brady Kelly
🙏 1 karma
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
Pros
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
Cons
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
Q&A
What is the Code Interpreter by OpenAI?
Code Interpreter by OpenAI is a feature of the ChatGPT model that provides a working Python interpreter in a sandboxed, firewalled execution environment, along with some ephemeral disk space. The feature evaluates code in a persistent session that is alive for the duration of a chat conversation. It also supports uploading files to the current conversation workspace and downloading the results of the executed work.
What is the function of the ChatGPT plugin in Code Interpreter?
The function of the ChatGPT plugin in Code Interpreter is to provide language models access to up-to-date information, and allow them to run computations on the code. The plugin also allows the models to use third-party services. The plugin can act as the models' 'eyes and ears', giving them access to information that is too recent, too personal, or too specific to be included in the training data.
How secure is the use of plugins in Code Interpreter?
The use of plugins in Code Interpreter is secure. The primary consideration for using plugins, especially ones that allow the AI to execute Python code, revolves around properly sandboxing the execution so that AI-generated code does not have unintended real-world side effects. It is executed in a secured environment and uses strict network controls to prevent external internet access from executed code. Additionally, strict resource limits are set on each session to ensure safety.
Can the Code Interpreter analyze any type of programming code?
The ability of the Code Interpreter to analyze different types of programming code is not explicitly mentioned. However, the information specifies that Code Interpreter can interpret Python code, there's no mention of the ability to interpret other types of programming languages.
How can I integrate plugins into my product as an API user?
API users will be able to integrate plugins into their products after an alpha period. The process for this is not explicitly stated, but API users will likely be able to do so with the help of the plugin documentation. It's anticipated that more details for the integration will be provided when the feature is made broadly available.
Will the ChatGPT plugins improve my interaction with the AI?
Yes, ChatGPT plugins are designed to improve the interactive abilities of the AI. They provide models with up-to-date, personalised, or specific information not included in the training data, potentially unlocking a vast range of use cases and improving human-AI interaction.
Can I build my own plugins for ChatGPT?
Yes, developers who have been invited off the ChatGPT plugin waitlist can build their own plugins. For this, they can leverage the documentation provided by OpenAI. These plugins then allow ChatGPT to utilize various third-party services or access specific information.
Which companies are currently developing plugins for ChatGPT?
Several companies, including Expedia, Instacart, and Wolfram, among others, are currently developing plugins for ChatGPT.
How are plugins beneficial for language models?
Plugins are beneficial for language models because they can act as the models' 'eyes and ears'. They enable the models to access personalized, timely, or specific information that is not included in the training data. In response to a user's specific request, plugins can also enable language models to perform safe, constrained actions on behalf of the user thus enhancing the models' overall utility.
How does Code Interpreter ensure safety while using third-party services?
Code Interpreter ensures safety while using third-party services by sandboxing the execution environment. This means that the AI-generated code does not have unintended side-effects in the real world. The execution environment is secure and it employs strict network controls to prevent external internet access from any executed code. All these factors make the use of third-party services through plugins safe.
What are the potential use cases of ChatGPT plugins?
ChatGPT plugins can unlock a vast range of potential use cases. These include browsing product catalogs, booking flights, ordering food, solving mathematical problems, doing data analysis and visualization, converting files between formats, and managing to-dos, among others.
Are there any open-source plugins available for ChatGPT?
Yes, alongside plugins being developed by various companies, there are also open-source plugins being developed for ChatGPT. For example, a knowledge base retrieval plugin has been open-sourced.
What is the role of the chatbot while using plugins?
While using plugins with ChatGPT, the chatbot acts as an interface between the user and the plugin. It uses the plugin to retrieve information, perform computations, or use third-party services to help fulfil the user's request.
Are there any standards that OpenAI follows while creating plugins for language models?
While the exact standards OpenAI follows while creating plugins are not provided, the company shows a clear dedication to safety and security by implementing several safeguards during the plugin development process. They have conducted internal and external red-teaming exercises to identify potential safety risks and incorporated the findings from these exercises into safety-by-design mitigations.
What are the safety and alignment challenges faced with the rollout of these plugins?
Some of the safety and alignment challenges faced with the rollout of these plugins include potential risks of the model taking harmful or unintended actions, increase in the capabilities of bad actors, and the risk of negative consequences from mistaken or misaligned actions taken in new domains by the model. OpenAI has implemented several safeguards and is using a gradual rollout approach to mitigate these challenges.
What kind of documentation is required to build a plugin?
To build a plugin, you would need to create an OpenAPI specification documenting your API, and a manifest file that links to the OpenAPI specification and includes some plugin-specific metadata.
Can the plugins perform complex code computations?
Yes, the plugins are designed to enable language models to perform complex code computations. For instance, ChatGPT's code interpreter plugin can solve both quantitative and qualitative mathematical problems and perform data analysis and visualization.
What measures are taken for safety and data privacy while using the retrieval plugin in ChatGPT?
Safety and data privacy are key considerations while using the retrieval plugin in ChatGPT. Only content that developers are authorized to use and can share in the ChatGPT session should be added to the retrieval plugin. Moreover, the retrieval plugin is an open-source, self-hosted solution, giving developers full control over data and privacy.
Which are the third-party plugins supported by Code Interpreter and how do they work?
Third-party plugins supported by Code Interpreter can perform a variety of tasks. For example, the OpenTable plugin provides restaurant recommendations and booking links, the Wolfram plugin offers computation, math, curated knowledge, and real-time data, and the Instacart plugin allows users to order from local grocery stores. These plugins work by being integrated into the ChatGPT session, where the AI can invoke the appropriate plugin API as needed to fulfil user intent.
How can developers create their own plugins for ChatGPT?
Developers can create their own ChatGPT plugins by first building an API with endpoints that a language model can call. They then need to create an OpenAPI specification documenting the API, and a manifest file that links to the OpenAPI specification and includes some plugin-specific metadata. Once created, developers can register their plugin with ChatGPT.
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