Abstract: This paper presents a novel deep learning framework for classifying Babylonian numerals by integrating Convolutional Neural Networks (CNNs) with a hybrid CNN-SVM model. The core ...
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 ...
Advancing Early Breast Cancer Diagnosis: A High-Performance SVM Model with Optimized Hyperparameters
Abstract: Breast cancer considered as one of the most lethal diseases affecting women globally, with approximately 670,000 female deaths in 2022 alone. Early identification plays a vital role since ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results