Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How to understand u vector in the origin paper? #244

Open
141forever opened this issue May 10, 2024 · 0 comments
Open

How to understand u vector in the origin paper? #244

141forever opened this issue May 10, 2024 · 0 comments

Comments

@141forever
Copy link

As it said in the origin paper: "Token Shift allows the model to learn how much new versus old information should be allocated per time step to each channel of receptance, key, value, and gate vectors (r , k, v, and g respectively) independently and uniquely for each head. "

How to understand 'Token Shift' here?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant