2 papers
cs.DC2024
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services
MaÅgorzata Åazuka, Andreea Anghel, Thomas Parnell
As Large Language Models (LLMs) are rapidly growing in popularity, LLM inference services must be able to serve requests from thousands of users while satisfying performance requir…
cs.LG2024
Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection
Jovan Blanuša, Maximo Cravero Baraja, Andreea Anghel +4
In this paper, we present "Graph Feature Preprocessor", a software library for detecting typical money laundering patterns in financial transaction graphs in real time. These patte…