The notebook is divided into two parts, each focusing on a key application of BERT:

Part 1. Fine-Tuning for Sentiment Classification

• Fine-tune a pre-trained BERT model on the stanfordnlp/IMDB dataset for a Binary Sentiment Classification task.

Part 2. Inference for Question Answering

• Perform inference using a pre-trained BERT model for a Question Answering (QA) task.