MuseNet is an advanced neural network developed by OpenAI that produces musical compositions lasting 4 minutes and featuring up to 10 different instruments. Its notable features and benefits include:

• Versatility in composing: It combines elements from various genres like country, Mozart, and the Beatles.
• Cutting-edge technology: Built upon the same large-scale transformer model as GPT-2, it is trained to predict sequential data.
• Chordwise encoding: It treats every combination of notes as an individual 'chord' to enhance the accuracy of predictions.
• Customizable generation: It offers the use of composer and instrumentation tokens to provide greater control over the generated samples.

MuseNet can be utilized in different scenarios, including:

• Musicians and composers seeking AI-generated inspiration for their new compositions.
• Educators who wish to demonstrate how musical styles and genres can blend together.
• Researchers interested in exploring the capabilities of music generated by artificial intelligence.