Our hope is that this lowers the barrier to AI research, so more labs can train
Source
cursor_ai
Author
cursor_ai
Published
Why it matters
An open, deterministic MoE training kernel with published speedups lowers the cost floor for teams training their own models rather than only consuming APIs.
Our hope is that this lowers the barrier to AI research, so more labs can train models efficiently.
Here's how we built it: https://t.co/EaC2z7Mw3a
Transcript
Our hope is that this lowers the barrier to AI research, so more labs can train models efficiently.
Here's how we built it: https://t.co/EaC2z7Mw3a
