Tag
transformer
Transformer is the sequence model behind many modern AI systems, from language generation and text-to-image diffusion to log anomaly detection. Coverage here focuses on attention, long-range dependencies, efficiency tradeoffs, and applied variants such as compressed-byte inference and diversity control.
2 articles

Research/Jun 3
Humanoid-GPT scales motion tracking with a GPT-style model
Humanoid-GPT uses a GPT-style Transformer and 2B motion frames to improve zero-shot whole-body motion tracking.

Research/May 24
Implicit Channel Estimation for Full-Duplex MIMO
A transformer learns site-specific beams from few measurements, avoiding explicit self-interference channel estimation.