GPT-4 vs. ChatGPT3

By: Chloe Chiang

Because of the increasing influence of Artificial Intelligence in various fields, Open AI has announced the release of their newest model, GPT-4. Developed by their team of software engineers, GPT-4 was produced to surpass the capabilities of its predecessor, ChatGPT3. GPT-4, which was released on March 14th, 2023, is a generative AI that excels in replicating human interactions, code outputs, and image comprehension. ChatGPT3 is unable to process and produce images because of its limited cognition. Conversely, GPT-4 generates intricate images through artificial neural networks. This breakthrough will have tremendous implications, as it can assist in efficiently processing data, specifically in industries where immediate and accurate decision-making is essential.

Another notable difference between GPT-4 and GPT-3 is performance on simulated bar exams. GPT-4 scored around the top 10% of test takers, while GPT-3.5 scored around the bottom 10%. This demonstrates the remarkable progress made by OpenAI in just six months of iterative alignment, drawing from lessons learned from their adversarial testing program as well as ChatGPT, a key component of their development process.

Moreover, GPT-4 has undergone extensive training and fine-tuning in mathematical reasoning. Chatgpt3 was critiqued heavily on its mathematical comprehension as it failed to simplify equations from Algebra 1. Consequently, GPT-4 was trained on a collection of mathematical statements that encompassed algebra, calculus, geometry, and probability, allowing it to refine its fundamentals and compute with increased accuracy. As a showcase of its improvement, ChatGPT-4 has achieved an impressive 40th percentile score in the AP Calculus BC examination, demonstrating its advanced mathematical reasoning and problem-solving skills.

In benchmark evaluations, GPT-4 outperforms existing large language models, including GPT-3 in few-shot evaluations, where the models were tested with minimal training data. For instance, in multiple-choice questions spanning 57 subjects, GPT-4 achieved an accuracy of 86.4% in 5-shot evaluations, surpassing GPT-3.5’s performance of 70.0% in the same setting.

en AI has also highlighted the potential of GPT-4 in real-world applications, such as in Python coding tasks, where it achieved an accuracy of 67.0% in 0-shot evaluations. Software engineer David Rahmuni states that “GPT-4 will work as a partner coder in the near future, working to correct the primary coder’s bugs and clean up the code.”

If Artificial Intelligence could employ a Socrates-based education format, or behave as a tutor, students unable to afford formal, after-school tuition may reap the benefits of oneon-one education. Programmers at Open AI recognize the potential of GPT-4 as a substitute for an educator and are allowing users to prescribe the AI’s response style by defining it in the “system” message. Developers have sample conversations of Socratic tutor, Shakespearean Pirate, and “JSON AI Pirate” system messages.

As AI continues to evolve and integrate into our lives, it is crucial to develop ways to work alongside it and leverage its capabilities rather than viewing it as a threat. Experimenting with Artificial Intelligence can allow users to identify how it can serve as a personal assistant by customizing its output through the system message. So, if you want to avoid being overtaken by Artificial Intelligence, it might be in your interest to familiarize yourself with GPT-4... in-case it begins eliminating those who cannot harness its abilities.

This is a polytechnic exam question. This shows GPT-4’s exceptional image comprehension AND mathematical reasoning.