What is ChatGPT and how it works

ChatGPT is a large language model developed by OpenAI that can generate human-like responses to natural language inputs. It works by processing the input text, generating a probability distribution over possible responses, and then selecting the most likely response based on that distribution.

The model is based on a deep learning architecture called a transformer network, which was introduced in a seminal paper by Vaswani et al. in 2017.

The transformer network is designed to process sequences of tokens, such as words or characters, and to learn representations of those sequences that capture both their meaning and their context.

To train ChatGPT, OpenAI used a large dataset of text from the internet, which includes everything from news articles to social media posts to scientific papers. The model was trained to predict the next word in a sequence given the preceding words, and it was trained on a task known as language modeling.

Language modeling is a type of unsupervised learning, which means that the model learns to make predictions without being explicitly told what the correct answer is. By training on a massive amount of text, ChatGPT has learned to generate responses that are not only grammatically correct but also coherent and contextually appropriate.