Understanding Language Models and Neural Networks

What role do embeddings play in language models?

• They store the entire sentence as a single number.

• They break down input into smaller, manageable pieces.

• They are used to translate languages directly.

• They generate random words without any structure.

How do language models ensure sentences are structured correctly?

• By recognizing patterns in language during pre-training.

• By relying solely on user input for sentence structure.

• By using a fixed template for all sentences.

• By randomly arranging words until they make sense.

What is a neural network compared to in the video?

• A simple calculator.

• A musical composition.

• A complicated relay race.

• A static image.

How do neural networks prioritize certain connections over others?

• By using weights to strengthen specific connections.

• By ignoring all connections equally.

• By randomly selecting connections to prioritize.

• By using a fixed priority list for all tasks.

What is the speaker's hope for the future of generative AI in music?

• To help users discover new music they would enjoy.

• To limit the variety of music available.

• To make music creation more difficult.

• To replace all human musicians.