In recent months, starting from OpenAI’s ChatGPT, the AI community has set off a wave of research and development of intelligent chatbots. There are also various abilities that you want to achieve, of which coding ability is an important part. Unfortunately, the code generation capabilities of these chatbots always seem to be unsatisfactory.
How to improve the coding capabilities of chatbots has become an important task. OpenAI has been improving the ability to run code and use third-party plug-ins in ChatGPT, and launched Code Interpreter on March 25. This plugin provides ChatGPT with a Python interpreter that works in a sandboxed, firewalled execution environment and provides some temporary disk space.
Now, how much can the Code Interpreter plug-in accomplish? This article will explore in detail how the plugin works, best practices, pros and cons, and how to handle tasks as diverse as custom binaries, uploading and downloading, and generating code.
In fact, the working principle of Code Interpreter is not very complicated.
When a user requests the plugin to run a command, it generates a unique session ID and starts a new sandbox environment to execute the command. The environment contains a Python interpreter, limited libraries, and some temporary disk space. Once the command is executed, the plugin parses the output and can be used in another function. This means users can string different functions together to accomplish more complex tasks, all within the ChatGPT interface.
One of the great things about Code Interpreter is that as an experimental model it can use Python, handle uploads and downloads, and generate code. The plug-in runs Python using few libraries, allowing users to write custom code to manipulate and analyze data, and create data visualizations based on simple conversational input, making it an excellent tool for handling complex data interpretation tasks with ease. In addition, the plugin can extend the functionality of ChatGPT through custom binaries.
In summary, Code Interpreter can generate and run code, upload and download files ranging from CSV data to images, and evaluate the output in the ChatGPT interface. It is a powerful tool for developers who want to extend the functionality of ChatGPT and create custom plugins to suit their needs.
Following some of the following best practices when using Code Interpreter can get twice the result with half the effort:
As mentioned above, in addition to interpreting and executing code, Code Interpreter has a range of potential use cases, Including data processing, visualization and automation, file upload and download, etc.
Today, Twitter user @AngryTomtweets listed the top 10 use cases he discovered for Code Interpreter.
Become a Data Scientist
Use Code With Interpreter, you only need to upload the data and provide simple English instructions, and you can complete all the work of cleaning the data and generating visual charts on autopilot.
Multimodal AI Assistant
Use Code Interpreter to quickly convert images into text files.
Source: Twitter @Saboo_Shubham_
Make visualization simpler and more beautiful
Using Code Interpreter, ChatGPT can basically complete any visualization work and make the chart more Beautiful.
Source: Twitter @emollick
Marketing Planning Expert
Using Code Interpreter, ChatGPT can segment the music market based on tabular data and provide detailed information for each segment. Develop business strategies by market.
For every lighthouse twinkling for you
After uploading a CSV file of every lighthouse location in the United States, Code Interpreter can create a GIF map of these lighthouse locations, although the map is very dark, with each lighthouse blinking.
Crime Data Analysis
Upload a CSV data file about SF crime and let Code Interpreter visualize the trends.
## Source: Twitter @backus
GIF animation rendering
##Source: Twitter @goodside
Use Code Interpreter to upload a CSV file of airline delays and create a very cool interactive map.
Source: Twitter @emollick
Analyzing music taste
Used Code Interpreter to analyze 300 hours of Spotify favorites playlists, exported from the Spotify API, and run multidimensional PCA and t-SNE analysis to summarize musical tastes.
# Source: Twitter @SHL0MS
Basic Video Editing
Using Code Interpreter, you can convert uploaded GIFs into more Long MP4 video and zoom slowly.
## Source: Twitter@goodside
For more detailed use case analysis, please refer to the original link.The above is the detailed content of GIF animation rendering, making lighthouses flash, creating aviation animations... ChatGPT code interpreter plug-in 'more than just code'. For more information, please follow other related articles on the PHP Chinese website!