Quantization is an excellent technique to compress Large Language Models (LLM) and accelerate their inference. In this session, lets explore different quantization methods and techniques, the common libraries used and...
Literature reviews are a critical component of evidence-based medicine, serving as a structured approach to addressing clinical questions by systematically analyzing the breadth of published academic literature. However, traditional methods...
This talk draws from the paper “LLMs Will Always Hallucinate, and We Need to Live With This” and presents a critical analysis of hallucinations in large language models (LLMs), arguing...
We developed and evaluated an AI chatbot that provides reliable menopause information based on trusted, peer-reviewed sources, such as medical guidelines and position statements from The Menopause Society (TMS). The...
This presentation and talk will provide a review on the different applications of machine learning in neurosurgery. First I plan on discussing the multifaceted use of convolutional neural networks in...
Demos
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