![Large Language Model Adaptation with Bayesian Low-Rank Approximation (arXiv:2308.13111v1 [cs.LG])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Aug 28, 2023 | AI Blogs
Parameter-efficient fine-tuning (PEFT) is a new approach that allows for cost-effective fine-tuning of large language models (LLMs). One popular choice for fine-tuning is low-rank adaptation (LoRA). However, a common issue with fine-tuned LLMs is that they often...
by instadatahelp | Aug 28, 2023 | AI Blogs
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates Authors: Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi; Published in 2023, Volume 24, Issue 110, Pages 1-43. Abstract This study presents a novel framework...
by instadatahelp | Aug 28, 2023 | AI Blogs
Survival analysis is a critical component in healthcare decision-making, as it provides risk predictions for important events in a patient’s medical journey. However, due to data censoring, existing survival analysis methods have limitations. This paper proposes...
by instadatahelp | Aug 28, 2023 | AI Blogs
Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification Authors: Oh-Ran Kwon, Hui Zou; Journal of Machine Learning Research, 24(239):1−40, 2023. Abstract Many modern classification algorithms are formulated using the...
by instadatahelp | Aug 28, 2023 | AI Blogs
The increasing interest in autonomous navigation research has led to the introduction of a Driverless Vehicle category in Formula Student events. This study focuses on utilizing Deep Reinforcement Learning for the end-to-end control of an autonomous race car in these...
