Lilian Weng • 10/29/2020

How to Build an Open-Domain Question Answering System?

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This article explores methods for constructing open-domain question answering (ODQA) systems, which answer factual questions without provided context. It covers key concepts like open-book vs. closed-book QA, reviews neural network and Transformer-based models, and discusses frameworks and considerations for fine-tuning with QA datasets.

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#Neural Networks #Language Models #AI Assistant
How to Build an Open-Domain Question Answering System?

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