Search papers, labs, and topics across Lattice.
Technische Universität Dresden
2
0
6
7
Achieving up to 4.5 TOPS while consuming less than 250 mW, the SpiNNaker2 chip redefines energy efficiency in brain-inspired computing.
Surprisingly, even with carefully designed retrieval pipelines, smaller language models still fall short of larger models on complex scientific reasoning tasks, suggesting that retrieval and model scale are complementary, not interchangeable.
