Musenet (OpenAI) - Create AI generated music

MuseNet is a revolutionary deep neural network created by OpenAI that can generate intricate, multi-instrumental musical compositions spanning four minutes in length. The technology behind MuseNet is based on the same general-purpose unsupervised learning technology that powers GPT-2, a large-scale transformer model trained to predict the next token in a sequence. MuseNet is capable of combining a wide range of musical styles, from country to Mozart to the Beatles. It is trained on data from MIDI files, which are digital representations of musical notes, and can generate samples in a chosen style by starting with a prompt. To give the model more context, MuseNet uses several embeddings such as positional embeddings, a timing embedding, and structural embeddings. With MuseNet, OpenAI has created a powerful tool for music generation that can be used to make entirely new compositions, or to suggest variations of existing compositions by introducing subtle changes to the prompt. It can also be used to create realistic accompaniments for a singer or soloist. MuseNet will no doubt revolutionize the way music is composed and experienced in the future.