MuseNet is a deep neural network by OpenAI that generates 4-minute musical compositions with up to 10 different instruments. Key features and advantages include:

• Versatile compositions: Combines styles from various genres, such as country, Mozart, and the Beatles
• Advanced technology: Based on the same large-scale transformer model as GPT-2, trained to predict sequential data
• Chordwise encoding: Considers each combination of notes as an individual 'chord' for more accurate predictions
• Customizable generation: Uses composer and instrumentation tokens for greater control over generated samples

Use cases for MuseNet cater to various creative needs:

• Musicians and composers seeking AI-generated inspiration for new compositions
• Educators looking to demonstrate the blending of musical styles and genres
• Researchers interested in exploring the capabilities of AI-generated music

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