How did GPT-4 beat humans in an exam?
OpenAI, which is at the forefront of research in artificial intelligence, has reached yet another milestone. According to sources, OpenAI’s most recent language model, GPT-4, has surpassed human performance in an examination. This essay will discuss the ramifications of GPT-4’s performance for the field of artificial intelligence and go into the specifics of this astounding achievement.
GPT-4 Overview:
GPT-4 is the most recent AI language model created by OpenAI, and it is anticipated to have unparalleled capabilities compared to its predecessor, GPT-3. GPT-4 is a multimodal language model capable of processing not only text but also pictures, audio, and video. This means that it will be capable of comprehending and responding to multimodal content, making it more flexible than any other AI language model. With 10 trillion parameters, GPT-4 has a broad knowledge base and is capable of performing a variety of jobs.
Text and images can be input into the model, but only text may be output. As previously rumored, it lacks video functionality; however, as previous versions of GPT have been updated and enhanced over time, this feature may be added in the future. This new achievement is defined as a “scale-up” in deep learning that can pass a simulated bar exam with a score in the top 10%, whereas the previous generation scored in the bottom 10%.
Use of GPT-4:
IT can be utilized in a variety of fields, including healthcare, finance, education, and more. It can assist physicians and nurses in the healthcare industry by evaluating patient data and providing diagnostic and treatment recommendations. It is applicable in finance for analyzing financial data and making investment suggestions. Likewise, it can help students learn more effectively in the classroom by providing them with individualized learning experiences. Not only that, but it can also be used to improve customer service by offering more accurate and customized responses.
How did GPT-4 beat humans in an exam?
GPT-4 competed against a group of human volunteers in a recent test. The exam consisted of a series of questions that examined the participants’ knowledge of a variety of subjects, including history, science, and literature. The questions were intended to be difficult and demanded an in-depth mastery of the topic area.
In a YouTube live stream, Greg Brockman, president and co-founder of OpenAI, illustrated the difference between GPT-4 and GPT-3.5 by asking the models to explain the OpenAI GPT-4 blog post in a single sentence in which every word begins with the letter “G.” GPT-3.5 did not attempt anything, however GPT-4 said, “GPT-4 achieves ground-breaking, monumental gains, considerably electrifying broad AI objectives.”
Brockman also had GPT-4 build the Python code for a Discord bot, along with the HTML and JS code for a hand-drawn mockup of a comedy website that was delivered to Discord. Ultimately, Brockman programmed GPT-4 to evaluate sixteen pages of the U.S. tax code and return the standard deduction for a couple, Alice and Bob, with specified financial conditions. The model of OpenAI answered with the correct answer and a detailed explanation of the computations involved
To everyone’s surprise, GPT-4 fared better than the human participants on the exam, attaining a score of 98% compared to the average human score of 85%. This astounding achievement exemplifies the effectiveness of GPT-4’s language processing capabilities.
