What is Question Answering (QA)?
An AI application that provides accurate and context-aware answers to user queries based on a knowledge base or retrieved data.
More about Question Answering (QA):
Question Answering (QA) is a field of AI focused on building systems that can understand user queries and provide precise answers. QA systems often integrate retrieval-based models and knowledge-grounded generation to retrieve and generate responses.
QA applications are used in domains like customer support, educational tools, and search engines, leveraging techniques like passage retrieval and contextual embeddings to deliver relevant answers.
Frequently Asked Questions
What are the key components of a QA system?
QA systems typically include components for document retrieval, passage ranking, and answer generation.
How does question answering differ from semantic search?
QA focuses on generating precise answers, while semantic search retrieves relevant documents or information.
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