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Beyond LoRA: Exploring Efficient Fine-Tuning Techniques for Time Series Foundational Models
Time Series Foundation Models (TSFMs) have recently garnered attention for their ability to model complex, large-scale time series data across domains such as retail, finance, and transportation.
Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning Approach
Open-source, multilingual medical large language models (LLMs) have the potential to serve linguistically diverse populations across different regions.
SM70: A Large Language Model for Medical Devices
We are introducing SM70, a 70 billion-parameter Large Language Model that is specifically designed for SpassMed's medical devices under the brand name 'JEE1' (pronounced as G1 and means 'Life').
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics
Sepsis requires urgent diagnosis, but research is predominantly focused on Western datasets.
Investigating Poor Performance Regions of Black Boxes: LIME-based Exploration in Sepsis Detection
Interpreting machine learning models remains a challenge, hindering their adoption in clinical settings.
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