ChatGPT is a language model that can generate meaningful text with human-like style. The model uses a ranking system for probable word choices based on billions of webpages and digitized books, rather than just literal text. This allows it to produce a sequence of words that make sense based on the words that came before it. The training of ChatGPT involves machine learning and neural nets. By using embeddings and semantic grammar, ChatGPT can understand subtle nuances and make educated assumptions about what a reasonable next word would be. The result is a highly effective text generation tool that can produce coherent paragraphs and even entire essays with little to no human input. Stephen Wolfram goes deep into the workings of ChatGPT to give a big picture understanding of how it works and why its so effective.
