SmolLM3 Retrieves Perfectly at 64x Its Training Length by Moving Dropout
A new paper argues the right dropout placement, not just positional encoding, lets transformers extrapolate up to 64x past their training context length.
Source
AlphaSignal
Published
Author
AlphaSignal Newsroom
Read
1 min read
A new paper argues the right dropout placement, not just positional encoding, lets transformers extrapolate up to 64x past their training context length.
Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.
