Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

Abstract: This article presents a comprehensive comparison of deep learning models — ResNet50, ResNet101, and CLIP — in the context of an applied geology problem: automated mineral classification ...

Abstract: Computer vision is the field that focuses on automating and combining various processes and representations used for visual perception. The subject encompasses numerous approaches that ...