Applied Sequence Modeling with PyTorch

Advanced AI techniques, particularly in the realms of deep learning, sequence modeling, and retrieval-augmented generation (RAG), are revolutionizing the healthcare industry. These technologies offer powerful tools for analyzing complex data, predicting patient outcomes, and enhancing decision-making processes in clinical settings.

A practical workshop focused on implementing and training LSTM and Transformer models using PyTorch, with a comparison of their performance on sequential healthcare data.

Workshop Materials

SERIES: Advanced AI for Healthcare: A Transformative Force

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