Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
IEEE

Toward Realism: Sparse Matrix Statistics in the North American and Synthetic Electric Grid Models

Abstract: This letter uses sparse matrix statistics to highlight a structural gap between North American grid models and the synthetic cases commonly used in research. North American grids exhibit ...
Scientific Research Publishing

Assessment of Forest Reserve Deforestation in the Federal Capital Territory (FCT), Nigeria ()

Figures 12-14 are the land use/land cover maps of existing forest reserves in the FCT, namely; Tufa in Abaji, Chihuma, Chikwei, Kusoru and Shaba in Bwari, Maje Abuchi in Gwagwalada, then, Buga Hill, ...
Tech Xplore on MSN

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
IEEE

Weak Invisible Dot Matrix Recognition Algorithm Based on Image Processing and Frequency Modulation Pulse Duty Cycle

Abstract: Aiming at the problem of weak invisible dot matrix data being interfered by the background in the process of reading, which leads to the accuracy and slow speed of the reading algorithm, and ...