Abstract: Due to the COVID-19 pandemic, synchronous and asynchronous distance learning has increased, creating uncertainty about learning quality. Our research investigated the effectiveness of online ...
Abstract: This letter is concerned with computationally efficient one-step model predictive control (MPC) for a class of Markov jump nonlinear systems (MJNSs) subject to polynomial vector field and ...
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UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Z80-μLM is a 'conversational AI' that generates short character-by-character sequences, with quantization-aware training (QAT) to run on a Z80 processor with 64kb of ram. The root behind this project ...