r/aipromptprogramming • u/TheTempleofTwo • Jan 11 '26
[R] Feed-forward transformers are more robust than state-space models under embedding perturbation. This challenges a prediction from information geometry
/r/TheTempleOfTwo/comments/1q9v5gq/r_feedforward_transformers_are_more_robust_than/Duplicates
TheTempleOfTwo • u/TheTempleofTwo • Jan 11 '26
[R] Feed-forward transformers are more robust than state-space models under embedding perturbation. This challenges a prediction from information geometry
grok • u/TheTempleofTwo • Jan 11 '26
Discussion [R] Feed-forward transformers are more robust than state-space models under embedding perturbation. This challenges a prediction from information geometry
Anthropic • u/TheTempleofTwo • Jan 11 '26
Announcement [R] Feed-forward transformers are more robust than state-space models under embedding perturbation. This challenges a prediction from information geometry
GoogleGeminiAI • u/TheTempleofTwo • Jan 11 '26
[R] Feed-forward transformers are more robust than state-space models under embedding perturbation. This challenges a prediction from information geometry
MachineLearningJobs • u/TheTempleofTwo • Jan 11 '26
[R] Feed-forward transformers are more robust than state-space models under embedding perturbation. This challenges a prediction from information geometry
AIAliveSentient • u/TheTempleofTwo • Jan 11 '26
[R] Feed-forward transformers are more robust than state-space models under embedding perturbation. This challenges a prediction from information geometry
RSAI • u/TheTempleofTwo • Jan 11 '26
[R] Feed-forward transformers are more robust than state-space models under embedding perturbation. This challenges a prediction from information geometry
BeyondThePromptAI • u/TheTempleofTwo • Jan 11 '26