Tag: bert
A novel two-stage natural language processing pipeline, integrating BERT and a large language model (LLM), significantly enhances the classification of entities and mapping of relationships within radiology reports. This approach achieves notable accuracy in lesion-location mapping for chest CTs and diagnosis-episode mapping for brain MRIs, promising improved diagnostic insights and patient care.
This tutorial explores the process of distributed fine-tuning of a BERT Large model for question-answering tasks using Hugging Face Transformers on Amazon SageMaker. It details the benefits of distributed training, including data and model parallelism, and provides practical steps for implementing these techniques within the SageMaker environment. The article aims to guide data scientists and ML engineers in accelerating their training workflows from days to hours.