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Found 5 papers, 0 papers with code
Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations
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.
Benchmarking with MIMIC-IV, an irregular, spare clinical time series dataset
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.
Federated Learning for Non-IID Data via Client Variance Reduction and Adaptive Server Update
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.
Survival Analysis on Structured Data using Deep Reinforcement Learning
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.
Network state Estimation using Raw Video Analysis: vQoS-GAN based non-intrusive Deep Learning Approach
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.
