Search papers, labs, and topics across Lattice.
2
0
3
A random transformer can achieve universal approximation without any pretraining, challenging conventional beliefs about model training requirements.
Transformers can be explicitly designed to perform nonlinear regression in-context by leveraging attention as a featurizer, offering a theoretical understanding of how these models learn complex relationships from prompts.
