ChatGPT is a large language model developed by OpenAI, which uses a deep neural network architecture called a transformer to process and generate natural language. At a high level, ChatGPT works by taking in a sequence of text, processing it through its deep neural network, and then generating a response based on the patterns and associations it has learned from its training data. The training data for ChatGPT comes from a vast corpus of text, including books, websites, and other sources. Throughout the process, ChatGPT uses a combination of deep learning techniques, including attention mechanisms and self-supervised learning, to generate high-quality responses that are both relevant and fluent.
Being such a new tool, it is hard to foresee the limitations that may arise when using ChatGPT in the future. In its current state, ChatGPT is designed to be very controlled, intuitive, and likely to produce interesting results. Having the ability to generate diverse and creative responses is a very powerful ability, thanks to techniques such as sampling and beam search. This allows ChatGPT to generate responses that are both unexpected and interesting, which can be useful for tasks such as creative writing and content generation.
