Question Answering Tutorial With Hugging Face Bert

This article provides a comprehensive guide to using Bidirectional Encoder Representation Transformers (BERT) for question answering (QA). It explains the two predominant methods for fine-tuning a BERT model for QA capabilities: fine-tuning with questions and answers alone, and fine-tuning with questions, answers, and context. It also discusses how BERT can be used to save time to response and computing resources, and how it can be tailored to QA tasks, especially for domain-specific prompts.