Skip to content

How Developers Have Used GPT-4 So Far

OpenAI has made headlines several times in the past few months, and the terms “ChatGPT” and “GPT-4” have gotten a lot of attention. While the company’s last surprise hit, ChatGPT, was still a topic of discussion, it pressed forward and released the GPT-4, a larger and enhanced version of the application. GPT-4 is a multimodal large language model that can respond to the text as well as images. With its unique capacity to answer user-input queries based on the visual situation given, the program fully exhibits its potential and gives intelligent replies to logical inquiries. Since the concept is relatively new, the application has only been made available to developers thus far. As a result, this MIT Technology Review article focuses on how AI experts have so far deployed GPT-4, indicating its potential future applications.

The first intriguing application of the GPT-4 listed in the article is “hustling”.  According to the article, Jackson Greathouse Fall, a brand designer, requested the software to create as much money as possible with a $100 budget. Jackson bought anything the computer program directed him to and ended up generating a sizable profit, prompting people to invest in the software. This shows that the program, if nothing else, is quite capable of assisting individuals in coming up with ideas. The second and most common application of the GPT-4 application is to boost efficiency. According to the article, even well-known companies like Microsoft and Google want to utilize the tool for documentation. The application has also taken over the healthcare domain to assist doctors in handling documentation work based on provider-patient dialogues more effectively. The goal is to minimize doctors’ workload by reducing tiresome aspects of the profession and allowing them to create an appropriate work-life balance. However, there may still be certain faults that OpenAI needs to address in order to make the program consumer-ready to be applied in such critical areas where accuracy is essential. Finally, the article suggests that the tool has been most extensively utilized for code authoring. According to the researchers, the tool can efficiently produce codes in a significantly shorter period of time.

While GPT-4 is progressively making its impact on the market and demonstrating its promise, OpenAI still has some improvements to make. Nonetheless, the aforementioned are some of the most recent deployments of the tool done by AI professionals so far.

To dive deeper into importance of technology and how sustainability and innovation affects the world of business, visit MIT PE Technology Leadership Program (TLP).

MIT PROFESSIONAL EDUCATION TECHNOLOGY LEADERSHIP PROGRAM
Back To Top