no code implementations • 23 Mar 2024 • Mathav Raj J, Kushala VM, Harikrishna Warrier, Yogesh Gupta
In our current work we focus on fine tuning LLaMA, an open source LLM using proprietary documents and code from an enterprise repository and use the fine tuned models to evaluate the quality of responses.
no code implementations • 27 Jan 2024 • Hung Bui, Harikrishna Warrier, Yogesh Gupta
Medical Information Mart for Intensive Care (MIMIC) dataset is a popular, public, and free EHR dataset in a raw format that has been used in numerous studies.
no code implementations • 18 Jul 2022 • Hiep Nguyen, Lam Phan, Harikrishna Warrier, Yogesh Gupta
Federated learning (FL) is an emerging technique used to collaboratively train a global machine learning model while keeping the data localized on the user devices.
no code implementations • 28 May 2022 • Renith G, Harikrishna Warrier, Yogesh Gupta
Predictive maintenance, which is a part of survival analysis, helps to find any device failure based on the current incoming data from different sensor or any equipment.
no code implementations • 22 Mar 2022 • Renith G, Harikrishna Warrier, Yogesh Gupta
Our proposed solution vQoS GAN (video Quality of Service Generative Adversarial Network) can estimate the network state parameters from the degraded received video data using a deep learning approach of semi supervised generative adversarial network algorithm.