Question Answering (QA) refers to a subfield of artificial intelligence and natural language processing focused on developing systems that can automatically respond to questions posed in natural language. The primary goal of QA systems is to provide accurate and relevant answers based on a given set of information, which may be drawn from structured databases, unstructured text, or both. These systems typically involve analyzing the question to understand its intent, retrieving pertinent information, and generating or selecting an appropriate answer. QA can take various forms, including open-domain systems that answer a broad array of questions and closed-domain systems that specialize in specific topics. The effectiveness of QA systems is often evaluated based on their ability to understand context, retrieve information accurately, and present answers clearly.
Discover the Fun Side of AI A groundbreaking development in the AI realm has just emerged – Grok, the playful assistant inspired by *The Hitchhiker’s Guide to the Galaxy*, is…