ChatGPT and Other AI: How does ChatGPT Work?

This technical report presents GPT-4, a large multimodal model capable of processing image and
text inputs and producing text outputs. Such models are an important area of study as they have the potential to be used in a wide range of applications, such as dialogue systems, text summarization, and machine translation. As such, they have been the subject of substantial interest and progress in recent years [1–34].

Feb 17, 2021
GPT-3 (Generative Pre-trained Transformer 3) is a language model that was created by OpenAI, an artificial intelligence research laboratory in San Francisco. The 175-billion parameter deep learning model is capable of producing human-like text and was trained on large text datasets with hundreds of billions of words.
Why GPT-3 is so powerful
GPT-3 has made headlines since last summer because it can perform a wide variety of natural language tasks and produces human-like text. The tasks that GPT-3 can perform include, but are not limited to:

Text classification (ie. sentiment analysis)
Question answering
Text generation
Text summarization
Named-entity recognition
Language translation

from OpenAI

High school teacher Daniel Herman concluded ChatGPT already writes better than most students today. He's torn between admiring ChatGPT's potential usefulness and fearing its harm to human learning: "Is this moment more like the invention of the calculator, saving me from the tedium of long division, or more like the invention of the player piano, robbing us of what can be communicated only through human emotion?"

A large language model, or LLM, is a deep learning algorithm that can recognize, summarize, translate, predict and generate text and other content based on knowledge gained from massive datasets.