Excepteur sint occaecat cupidatat non proident
Data-driven learning on a manifold (top). Data-driven learning and symbolic reasoning on a manifold (bottom). Conventional data-driven updates are followed with symbolic reasoning...
Image comparing the lossless compression rates of LMCompress with the traditional state-of-the-art methods and the large-model-based method that was proposed independently by a...
Overview of SASA (self-disciplined autogressive sampling). Credit: arXiv (2024). DOI: 10.48550/arxiv.2410.03818 As we mature from childhood, our vocabulary—as well as the ways we...
Credit: Unsplash/CC0 Public Domain Small language models are more reliable and secure than their large counterparts, primarily because they draw information from a...
Credit: Pixabay/CC0 Public Domain Imagine a coffee company trying to optimize its supply chain. The company sources beans from three suppliers, roasts them...
Example of how the jailbreaking approach works. Credit: Ding et al. Large language models (LLMs), such as the model underpinning the functioning of...
The user submits two queries (Q1 and Q2) to the backdoored customized LLM (the middle entity, highlighted in red). In Q1’s reasoning steps,...
Illustrative example of language acquisition through situation-based intention reading (left) and syntactico-semantic pattern finding (right), featuring a young child taking part in three...
GPU-like PCIe card offers 10PFLOPs FP4 compute power and 2GB of SRAM SRAM is usually used in small amounts as cache in processors...