Gabi Dobocanblog.telepat.io·Nov 17, 2024QA-Attack: Enhancing Robust and Efficient Adversarial Testing in NLPArxiv: https://arxiv.org/abs/2411.08248v1 PDF: https://arxiv.org/pdf/2411.08248v1.pdf Authors: Wei Liu, Yongshun Gong, Mingze Ni, Jiyao Li Published: 2024-11-12 Introduction Let's dive into the world of adversarial testing for Question-Answering (Q...adversarial testing
Kiarash KianiforDataChef's Blogblog.datachef.co·Jun 5, 2024Making Pre-Trained Models More RobustIntroduction In the ever-evolving landscape of machine learning, robustness is essential for building models that perform reliably in real-world scenarios. As models are deployed in diverse environments, they face many challenges, including noisy dat...427 readsMachine Learning
Igvir Ramirezpwd.hashnode.dev·May 10, 2024AWS Lambda Functions Failure ManagementIn AWS Lambda development, failure management is a crucial aspect to ensure the reliability and robustness of serverless applications. Here's how invocation failures are captured and handled, as well as how functions within distributed transactions h...robustness