Source | AI Frontline ID | aifront Author | Chu Xingjuan, Nuka-Cola
Locally on July 7, OpenAI stated on social platforms that it will open the Code Interpreter function to all ChatGPT Plus users. As soon as the news came out, it immediately attracted widespread attention from developers. This function is considered by some developers to be the most powerful function since OpenAI released GPT-4.
With Code Interpreter, language models can not only generate code, but also execute code independently. This plug-in allows users to directly call Python in the ChatGPT dialog window, directly upload, download, analyze (statistics), draw graphs, and even perform file format conversion and solve qualitative and quantitative data problems.
Instead of a data analyst?
In the era of big data, the ability to visualize complex data sets is not just a technology, but a necessity. Data visualization is key to extracting insights from the vast amounts of data we browse every day, allowing us to transform raw data at scale into visually appealing and easy-to-understand graphs. However, the specific process of realizing visualization is often daunting, involving complex data processing, design and debugging.
ChatGPT's Code Interpreter is considered by many netizens to be a rule-breaker in the field of data visualization.
For example, if you want to create a histogram to illustrate the revenue of different products in a specific period, you need to write SQL queries or process data in Python, which is difficult for people without programming background. But with ChatGPT Code Interpreter, the only thing we have to do is ask questions. Simply instruct the AI in simple language and it will do the rest, creating detailed and accurate visualizations based on real-world data. This ease of use is not only reflected in the histogram, but also supports other data visualization types such as pie charts, line charts, and scatter plots.
Code Interpreter is effectively a Python interpreter "in a sandbox, firewalled execution environment, and some temporary disk space," where all data visualizations are generated using Python.
At present, many netizens have shared how they use this AI tool to generate insightful visualization results. Ethan Mollick, an active Twitter user and professor at the Wharton School of the University of Pennsylvania, shared his experience with the ChatGPT Code Interpreter. He uploads an XLS file and asks the AI three questions:
"Can you help me understand the content of the data through visualization and descriptive analysis?"
"Can you try to find patterns in it using regression analysis?"
"Can you run regression diagnostics?"
Code Interpreter completed the data processing and gave accurate visualization and analysis results according to Ethan's requirements, demonstrating the powerful ability to easily handle complex data interpretation tasks.
Example of partial results
In another example, Ethan asks Code Interpreter to perform a sensitivity analysis. Even though AI does not have access to raw data, it can still solve problems and generate useful insights. This highlights how adaptable and intelligent the tool is when dealing with unplanned data-related issues.
Twitter user Patrick Blumenthal submitted the original UFO sighting dataset to Code Interpreter. The AI generated a complete HTML heatmap based on the data content, showing the potential to quickly create data visualizations from different datasets.
These real-world examples illustrate the power of ChatGPT Code Interpreter in simplifying the process of data visualization. By asking questions in conversations, users can gain valuable insights and graphical representations of data without writing a single line of code. Ethan called Code Interpreter "the most useful and fun AI mode I've ever used".
ChatGPT Code Interpreter is not only a data visualization tool, but also a powerful data analysis tool. It interprets complex data sets, uncovers patterns, and provides valuable information and insights for decision-making.
According to Greg Isenberg of digital marketing firm, Code Interpreter has revolutionized SEO by analyzing search engine algorithms and user behavior, generating data-driven insights for content optimization, and improving website rankings with customized strategies. New companies stand to add millions of dollars in revenue as they enter new ranks. Using Code Interpreter with Google Search Console data seems to be a popular usage these days.
In another example, a Twitter user analyzed a 300-hour Spotify playlist of his favorite songs. The chatbot provided visualizations, also helped with data retrieval, and explained how to use the Spotify API.
In addition, Code Interpreter can not only create GIFs from data, but can also dabble in other file formats. A prompt engineer named Riley Goodside uploaded a GIF and asked the chatbot to convert it to MP4 using Zoom, which Code Interpreter did successfully.
Some argue that this ability to perform complex data analysis tasks in a conversational manner is a complete game-changer in the industry. It puts data analysis capabilities in the hands of everyone, breaking the previous "monopoly" of such knowledge by high-level coders or data science practitioners. Whether you're a small business owner looking to interpret sales data, a teacher looking to analyze student achievement data, or a reporter working on a data-driven story, ChatGPT Code Interpreter can help everyone better understand what's in the data.
However, some people said that it was not as powerful as imagined. "When merging multiple complex files, the tower will only follow some specific methods for merging. If the method encountered does not work, it will collapse for you on the spot." Zhihu's answerer "Ji Sa College Leng Zhe" said, " It is only suitable for some batch processing jobs that you seem to know how to do, but are super time-consuming. But for the kind of situation where you don’t seem to know how to do it, and you look confused, he will also look confused.” In addition It should be noted that ChatGPT Code Interpreter does not seem to be very friendly to Chinese users at present, and it is not as good as the experience brought by English.
"This kind of hasty opening, in fact, OpenAI has encountered a lot of server computing pressure, so that they must have restricted it in the background. Before I saw the internal test, the commonly used cutouts or image and video processing are now being implemented. If there is a limit, either it cannot be done, or the computing power is insufficient." "Great Academy Leng Zhe" speculated.
change encoding
ChatGPT Code Interpreter is also changing the way we code.
Ethan used Code Interpreter to take old scratch STATA files and code and copied them using Python.
ChatGPT Code Interpreter is based on machine learning technology and mainly supports Python, but ChatGPT Code Interpreter is also designed to take into account the understanding and interaction capabilities of other programming languages. It is a coding tool with complete functions and a wide range of applications.
One of the reasons ChatGPT Code Interpreter is so popular is that it bridges the huge gap between technical knowledge and creativity. You no longer need to be proficient in Python, HTML, or JavaScript to turn data visualization from idea into reality. Conversely, we can also rely on ChatGPT Code Interpreter's AI coding knowledge to solve various heavy development tasks.
ChatGPT Code Interpreter is an important part of the overall trend of "no code movement". The goal of running without code is to eliminate the need for coding, thereby lowering the barrier to entry for the technology. It's a collection of tools and platforms that want to help people create software, websites, apps, and more without writing a single line of code.
The no-code movement is booming, and tools like ChatGPT Code Interpreter are leading the charge. By enabling complex data visualization and advanced data analysis without writing a single line of code, ChatGPT Code Interpreter is truly democratizing technology and putting the power of data into everyone's hands.
While ChatGPT's Code Interpreter is a game-changer, it also has some limitations:
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Plus Membership Requirements: Currently, this powerful feature is only available to Professional members. This paywall may limit access to individuals or organizations that cannot afford professional memberships, thereby excluding a subset of potential users.
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Latency: Notice the relatively long wait time for code execution. While this is understandable given the complexity of the tasks being performed, it can be a problem in a fast-paced environment where quick results are often required.
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Limited internet access: Code Interpreter does not have internet access for security reasons. This means it cannot make external API calls or fetch data from the network in real time, which may limit its functionality in some use cases.
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Knowledge cut-off: As of now, the training data for ChatGPT only contains information up to September 2021. While this is recent, it does mean that the model may not be aware of or be able to take advantage of certain advancements or changes in technology, such as programming languages, or libraries that have emerged since then.
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Complex Error Handling: While ChatGPT does a commendable job of understanding and executing code, dealing with complex errors or bugs may not be as straightforward. For starters, troubleshooting your code can be a bit difficult without the detailed error messages that an integrated development environment (IDE) typically provides.
But in any case, ChatGPT Code Interpreter is still considered as a projection of the future of programming at its current stage. ChatGPT Code Interpreter uses dialogue to digest the technical elements of the programming process, helping to promote the democratization of programming capabilities.
Reference link:
https://docs.kanaries.net/articles/chatgpt-code-interpreter
https://indianexpress.com/article/technology/artificial-intelligence/openai-code-interpreter-chatgpt-data-scientist-jobs-8818501/
https://medium.com/@abhijeetvichare76/revolutionizing-data-analysis-with-chatgpts-code-interpreter-30d6e0916fe6