Tech Xplore on MSN
AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Computer scientists have discovered a new way to multiply large matrices faster by eliminating a previously unknown inefficiency, leading to the largest improvement in matrix multiplication efficiency ...
New lower values for p get discovered all the time (maybe once a year). It is conjectured that they will approach 2.0 without ever getting quite to it. Somehow Quanta Mag heard about the new result ...
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Researchers from the USA and China have presented a new method for optimizing AI language models. The aim is for large language models (LLMs) to require significantly less memory and computing power ...
News Medical on MSN
Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
If you start naively without any library that avoids the problem then memory access is the problem. Have a look at how much effort is needed to avoid the problem, for example with blocking algorithms.
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