IEEE

Efficient Vector-Multiplicative Privacy-Preserving Retrieval-Augmented Generation for Large Language Models

Abstract: Retrieval-Augmented Generation (RAG) grounds large language models (LLMs) in external knowledge, yet it is faces a fundamental trade-off between knowledge confidentiality and retrieval ...
IEEE

MS-RAG: A Multimodal Retrieval-Augmented Framework for Digital Twins with Knowledge Graph Reasoning

Abstract: Traditional Retrieval-Augmented Generation (RAG) frameworks struggle to effectively handle multi-source heterogeneous data in digital twin scenarios, leading to insufficient accuracy in ...
marktechpost

How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathy’s AutoResearch Framework for Hyperparameter Discovery and Experiment Tracking

In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an automated experimentation pipeline that clones the AutoResearch ...
Hosted on MSN

Python tutorial: Proton motion in a constant magnetic field

Learn how to simulate proton motion in a constant magnetic field using Python! This tutorial walks you through the physics behind charged particle motion, step-by-step coding, and visualization ...
Johns Hopkins Newsletter

Tutorials & Frameworks

I often catch myself asking what I like, as the answers frequently change. Still, two things remain the constants of my life: drawing and writing. No matter how crowded life feels, they remain ...