OpenAI is a leading research organization that aims to promote the development of AI that is beneficial to humanity. One of the ways it does this is by training large language models using the transformer-based language modeling technique. ChatGPT is one such model that was trained using this technique.
The training data for the language model came from a diverse set of sources such as books, websites, and articles. The text was carefully filtered to remove low-quality content, and the result was used to train the model. As a result, the model can generate text that is similar in style and content to the training data.
The transformer-based language modeling technique works by exposing the model to a large number of text examples and teaching it to predict the next word in a sequence based on the words that came before it. This allows the model to generate coherent and grammatically correct responses to new inputs, even on topics it has not seen before.
During training, the model learns to understand the relationship between words and their context, and generate meaningful responses based on the input patterns it has seen. This capability is what enables ChatGPT to provide answers to a wide range of questions and generate text on different topics.
OpenAI’s transformer-based language modeling is a powerful tool for training language models and generating text. The diverse training data and the ability to produce coherent and grammatically correct responses make it a valuable tool for various applications.