Model techniques map
Techniquestraining objectiveauxiliary loss

specific method · filed under training objective

Sample-level attention masking

Applies attention masking at the sample level during pre-training.

sources
3
models
3
lab adopt it
1
strongest
used

How sources treat it

One count per evidence span, weakest treatment to strongest.

used 3

Documented in

Evidence

3 spans quoted from the sources, strongest treatment first.

we employ sample-level attention masking during pre-training.

usedtraining objectivein DeepSeek-V4DeepSeek

Similar to DeepSeek-V4, we employ sample-level attention masking during pre-training.

usedunclearin DeepSeek-V4.1-FlashDeepSeek

V4 uses sample-level attention masking during pre-training.

useddata curationin DeepSeek-V4DeepSeek

Filed alongside

Other methods under training objective :: auxiliary loss.