no code implementations • 5 Feb 2024 • Fahim Mohammad, Lakshmi Arunachalam, Samanway Sadhu, Boudewijn Aasman, Shweta Garg, Adil Ahmed, Silvie Colman, Meena Arunachalam, Sudhir Kulkarni, Parsa Mirhaji
The model achieved a normalized utility score of 0. 494 on test data and 0. 378 on prospective data at threshold 0. 3.
no code implementations • 10 Oct 2023 • Lakshmi Arunachalam, Fahim Mohammad, Vrushabh H. Sanghavi
In this paper, we explore how transfer learning, coupled with Intel Xeon, specifically 4th Gen Intel Xeon scalable processor, defies the conventional belief that training is primarily GPU-dependent.
no code implementations • 1 Nov 2022 • Meena Arunachalam, Vrushabh Sanghavi, Yi A Yao, Yi A Zhou, Lifeng A Wang, Zongru Wen, Niroop Ammbashankar, Ning W Wang, Fahim Mohammad
In this paper, we will be highlighting the optimization strategies adopted by us to achieve this performance on Intel Xeon processors with a set of eight different E2E pipelines.
1 code implementation • 7 Jun 2018 • Fahim Mohammad
A large proportion of online comments present on public domains are constructive, however a significant proportion are toxic in nature.