RWKV: Reinventing RNNs for the Transformer Era (Paper Explained)

kbin.social

RWKV: Reinventing RNNs for the Transformer Era (Paper Explained)

kbin.social

Lenguador@kbin.social to

Machine Learning@kbin.social · 1 year ago

RWKV: Reinventing RNNs for the Transformer Era (Paper Explained) - Artificial Intelligence - kbin.social

kbin.social

RWKV, a highly scalable architecture between Transformers and RNNs

Crosspost from m/ai

You must log in or register to comment.

Chat

Machine Learning@kbin.social

machinelearning@kbin.social

Create a post

You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !machinelearning@kbin.social

Machine learning (ML) is a field devoted to understanding and building methods that let machines “learn” – that is, methods that leverage data to improve computer performance on some set of tasks. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

Visibility: Public

This community can be federated to other instances and be posted/commented in by their users.

1 user / day
1 user / week
1 user / month
1 user / 6 months
1 local subscriber
1 subscriber
57 Posts
37 Comments
Modlog

mods: