Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

no code implementations • 24 Jan 2024 • Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan

The results reveal that our in-context learning approach outperforms the previous fine-tuned large language models such as GPT-3 by an average of 24. 8\% across all metrics, with an impressive 49. 7\% improvement over the zero-shot model.

In-Context Learning

Efficient Mining of Frequent Subgraphs with Two-Vertex Exploration

no code implementations • 19 Jan 2021 • Peng Jiang, Rujia Wang, Bo Wu

Frequent Subgraph Mining (FSM) is the key task in many graph mining and machine learning applications.

Graph Mining Databases Performance