Search papers, labs, and topics across Lattice.
2
0
5
1
Even after a model appears fully trained in FP32, INT4 quantization can catastrophically degrade, revealing a hidden vulnerability to post-convergence weight updates.
Forget fine-tuning: unlock surprisingly strong performance by stitching together frozen LLMs with lightweight, trainable projections that route information between models.
