OpenAI has unveiled an addition to its ChatGPT+ subscription service that allows subscribers to tap into their inner data analyst. The new tool, called Code Interpreter, enables users to write and run Python code directly within ChatGPT, granting access to uploaded files of up to 100MB in size. This innovative feature opens up a world of possibilities for users to analyze data, generate charts, create interactive HTML files, and perform complex mathematical calculations.
ChatGPT’s Code Interpreter has the potential to reduce data analysis limitations by simplifying the process and eliminating the need for extensive programming knowledge. Without the usual barriers associated with programming expertise, anyone can now use ChatGPT to automate quantitative research, consolidate and clean up data, and gain valuable insights.
Already, users are enthusiastically putting the Code Interpreter to the test. One notable example is Ethan Mollick, a professor at the University of Pennsylvania, who recently engaged ChatGPT in a discussion about the shape of the Earth. Through a combination of text, code snippets, and images, ChatGPT provided compelling arguments to support the Earth’s roundness, showcasing the tool’s versatility and potential for robust data analysis.
The introduction of the Code Interpreter not only empowers users to perform data analysis tasks but also addresses concerns raised by dissatisfied users who believed that ChatGPT was becoming increasingly limited over time. This feature exemplifies OpenAI’s commitment to continuously enhance and expand the capabilities of its AI models, providing users with new avenues for exploration and productivity.
The tool brings the power of data analysis to the fingertips of ChatGPT+ subscribers, regardless of their programming background, opening up a world of possibilities for individuals and organizations seeking to harness the potential of AI for data-driven decision-making. Now every user can employ their own personal Data Analyst Intern for just $20/month.
Source: mPost
