GitHub

MODE: Mixture of Document Experts for RAG

MODE (Mixture of Document Experts) is an advanced framework that improves Retrieval-Augmented Generation (RAG) by integrating external knowledge retrieval with a mixture of specialized expert models.
IEEE

An Unsupervised Correlation Learning-Based Clustering Model for Multiple Complex Lesions Evaluation

Lesion morphology and quantity evaluation in computer tomography (CT) images are critical for precise disease diagnosis. Most existing methods employ machine learning-based methods to separately ...
GitHub

Z80-μLM: A Retrocomputing Micro Language Model

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 ...
IEEE

A Novel Clustering Method for Extracting Representative Photovoltaic Scenarios Considering Power, Energy, and Variability

Abstract: Due to the significant uncertainty in photovoltaic (PV) power generation, grid operation scenarios with a high proportion of PV integration are complex and varied. To accurately extract ...