EPISODE · May 31, 2026 · 42 MIN
LT2: Linear-Time Looped Transformers
from Embodied AI 101 · host Shaoqing Tan
Replaces quadratic softmax attention in looped architectures with linear/sparse mechanisms for iterative memory refinement, achieving parity with standard looped transformers at much lower cost.
Embed this episode
NOW PLAYING
LT2: Linear-Time Looped Transformers
0:00
42:37
1×
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
Frequently Asked Questions
How long is this episode of Embodied AI 101?
This episode is 42 minutes long.
When was this Embodied AI 101 episode published?
This episode was published on May 31, 2026.
Can I download this Embodied AI 101 episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!