ChatGPT, a large language model (LLM) created by OpenAI, has become a prominent player in the tech industry in recent years. OpenAI is a private company that has received significant financial backing from Microsoft (MSFT), enabling its technology to reach ubiquity. ChatGPT answers questions posed to it using vast amounts of training data, providing human-like answers.
This advancement in technology, known as supervised learning and reinforcement learning from human feedback, was deemed groundbreaking enough by Stephen Wolfram, founder of Wolfram Research, to be labeled “a reasonable continuation” of vast text material. The appeal of ChatGPT’s free and easy to use approach of quickly acquiring answers to questions makes it a potential game-changer within web searches and any task involving research. The availability of such vast computing power, accessible through cloud computing, has enabled the technology industry to rapidly grow and meet the high demand for ChatGPT’s services.
Unfortunately, ChatGPT’s emergence has caused concern for many educators as students flock to the AI for assistance in basic and advanced tasks. This, combined with the fact that software scouring for AI-driven cheating catalyzed a problem when U.S. constitution failed a ChatGPT screening, means proper implementation and regulation is long overdue.
The allure of ChatGPT lies in its ability to potentially displace web searches and represent a big step forward in generative AI. Companies such as Alphabet, Microsoft, Meta Platforms, and Amazon have all invested heavily in this technology in an effort to monetize its potential.
However, while ChatGPT can provide reasonably accurate responses, its finite resource pool of data can