Overview
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Learn how to build an open-domain question-answering (ODQA) system in Python through this comprehensive 25-minute tutorial. Explore the components of ODQA, including databases and language models, that enable machines to provide intelligent answers to human-like questions. Dive into the process of creating an extractive Q&A functionality, which efficiently retrieves information from vast data stores. Follow along as the instructor guides you through data preprocessing and model fine-tuning, demonstrating how to implement this advanced pipeline for more efficient information retrieval. Gain insights into the complexities behind seemingly simple Q&A systems and enhance your natural language processing skills.
Syllabus
How to build a Q&A Reader Model in Python (Open-domain QA)
Taught by
James Briggs