GPT-4 Code Interpreter: The Next Big Thing in AI
The GPT-4 Code Interpreter is a revolutionary tool in the expanding fields of data science and analytics, providing innovative ways to optimize workflows and improve outcomes. This article discusses its application in these areas, showing how it can perform tasks once considered beyond its scope. Through various examples, it demonstrates the ease of integration into existing work environments.
The article is aimed at both seasoned professionals and beginners in data science, providing crucial insights for AI programming. The ultimate goal is to empower users to leverage the full potential of this advanced AI tool.
1. Understand, analyze and explain data intelligently!
In the following tweet thread, Code Interpreter has shown very good understanding of data and go for some advanced tasks such as applying PCA, Random Forest, and Monte Carlo!
2. Create Geographical Maps
In the following tweet, you can see how code interpreter is creating a 2-D map showing the seismic activity all over the world.
Code Interpreter can even go wilder and create interactive maps using folium. See the following tweet.
And here’s a cooler example about airport locations.
3. Be a fully autonomous data analyst!
In this tweet, code interpreter did go from a 300-hour Spotify playlist to conclusions about it. The conclusions do not appear to be naive at all!
4. Scrapping!
Have a tedious scrapping task? No problem! Save the page into an HTML then upload it to Code Interpreter and let it scrape the website for you using conventional tools such as Beautiful Soup.
4. Have a long-term memory ability!
While forgetting the context is one of the main frustrations around all GPT models in general. Someone has used Code Interpreter fancy traits to make it create SQLite database by itself and design it in a way that allow storing all the interactions held in the conversation and search all of them when responding to another new question!
5. Segmentation!
Believe it or not, Code Interpreter can do segmentation for you! While Segmentation using machine learning remains a challenging task for even a beginner data scientist. It can do it effortlessly!
What this tweet, were segmentation for different music markets were done by code interpreter such like a charm!
6. Analyzing Stock Markets.
While working with stock market data is pretty challenging. It has never been easier thanks to code interpreter. Follow this thread to find out how it managed to analyze Tesla Stock Market data in a breath-taking way!
7. Creating 3-D Visualizations
Have a look at this tread to see some fantastic 3-D visualizations created by Code interpreter!
8. Be your own OCR
Code Interpreter is a multimodal which means that it can deal different forms of data. Here, it was used to do some OCR on top of a PDF!
It worth mentioning that code interpreter is also capable of creating videos, basic video editing, image creation, generating QR codes and much more! but they are less relevant to data science and data analysis.
The question that pops up in everyone’s mind now is, Will GPT-4 Code Interpreter replace data analysts, data scientists, or even programmers?
In my opinion, No! this is far away from happening but it’s kind of raising the bar higher for the skills you need to acquire to have a data science or data analysis job.
In other words, if an employer can get better than you can get just by typing a few prompts here and there then why he should hire you?!
