Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research

S Gawde, S Patil, S Kumar, P Kamat, K Kotecha… - … Applications of Artificial …, 2023 - Elsevier
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

Efficient few-shot fine-tuning for opinion summarization

A Bražinskas, R Nallapati, M Bansal… - arxiv preprint arxiv …, 2022 - arxiv.org
Abstractive summarization models are typically pre-trained on large amounts of generic
texts, then fine-tuned on tens or hundreds of thousands of annotated samples. However, in …

Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research

S Gawde-Prabhudesai, S Patil, P Kamat, K Kotecha… - 2023 - irgu.unigoa.ac.in
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …

[PDF][PDF] Taxonomy for Data Contamination in Large Language Models

M Palavalli - 2024 - reports-archive.adm.cs.cmu.edu
Large language models pretrained on extensive web corpora demonstrate remarkable
performance across a wide range of downstream tasks. However, a growing concern is data …