Deploy large language models for a healthtech use case on Amazon SageMaker

This article discusses the deployment of large language models for a healthtech use case on Amazon SageMaker, specifically in detecting adverse events in pharmaceutical data.

Specifically, the article covers:

• The data challenges faced, such as data skew and HIPAA compliance
• Background on transformer architectures like BERT and GPT, and the Hugging Face platform
• Details of the solution, including data preparation and model training with Hugging Face models on SageMaker
• Results showing that the BioBERT model pre-trained on PubMed performed best for adverse event detection
• Conclusion highlighting the benefits of using fine-tuned large language models for this healthcare use case