Chat GPT is a chatbot application that uses advanced natural language processing (NLP) techniques to generate human-like responses. It is based on the GPT (Generative Pre-trained Transformer) architecture developed by OpenAI.
Chat GPT uses a large dataset of text to train its machine-learning models. This dataset is used to teach Chat GPT how to understand and generate human-like responses to a wide range of inputs.
Chat GPT's training data comes from a variety of sources, including books, articles, and websites. The dataset used to train the model is a subset of the Common Crawl, a massive repository of web pages that is updated regularly.
Before the data is used to train the model, it is preprocessed to remove any irrelevant or duplicate information. This ensures that the model is only learning from high-quality data that is relevant to its task.
While every effort is made to ensure that the data used to train Chat GPT is unbiased, it is impossible to completely eliminate bias from any dataset. However, OpenAI has implemented measures to reduce bias in the model's training data and to make the model as fair and inclusive as possible.