How to Build a Q&A Reader Model in Python - Open-Domain QA
Offered By: James Briggs via YouTube
Course Description
Overview
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
Related Courses
Genomic Data Science and Clustering (Bioinformatics V)University of California, San Diego via Coursera 用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera Data Mining Project
University of Illinois at Urbana-Champaign via Coursera Advanced Business Analytics Capstone
University of Colorado Boulder via Coursera Data Mining: Theories and Algorithms for Tackling Big Data | 数据挖掘:理论与算法
Tsinghua University via edX