A task where AI systems answer questions using information retrieved from a wide range of unstructured data sources.
More about Open-Domain Question Answering
Open-Domain Question Answering (QA) involves building systems that can answer questions by retrieving and processing information from unstructured sources such as articles, documents, or databases. These systems often integrate retrieval-based models with generative AI for accurate and coherent answers.
Techniques like dense retrieval and semantic search are commonly used to fetch relevant content, which is then processed by a language model for response generation.
