Our models are exposed by providing services that you can access via the internet. You can use them for wide range of tasks, including organizing and summarizing information, assisting with translations, analyzing or generating images, audio, and video, inspiring creativity and ideas, and other everyday activities. During training, models analyze relationships within data e.g. how words typically appear together in context or how pixels relate to each other, and use that understanding to predict the next most likely word or associated caption in the training data. 

Machine learning models consist of large sets of numbers, known as “weights” or “parameters”, along with code that interprets and uses those numbers. These models do not store or retain copies of the data they are trained on. Instead, as a model learns, the values of its parameters are adjusted slightly to reflect patterns it has identified. When generating a response to a user request, models use these learned weights to predict and create new content.

Our services were designed to understand and respond to user questions and instructions by learning patterns from large amount of information, including text, images, audio, and video. These models can generate different forms of content to help people in they day to day work helping to carry out everyday activities by communicating using natural language.