NLP - Question Answering Model

A Question Answering model is like having a smart computer that can answer your questions. It’s a special type of computer program that’s good at understanding what you ask and giving you useful answers.

Here’s how it works:

Input Question: You start by asking the computer a question. It could be anything you want to know, like “What’s the weather today?” or “Who won the World Series last year?”

Searching for Answers: The Q&A model searches through a big database of information to find the best answer. This database contains lots of text from books, articles, websites, and more.

Understanding Context: The computer doesn’t just find a random answer. It looks at the context of your question to make sure the answer makes sense. For example, if you ask about the weather, it will look up the current weather in your location.

Providing the Answer: Once it finds the right information, it gives you an answer in words that you can understand. It might say something like, “Today, the weather in your city is sunny and 75 degrees Fahrenheit.”

Learning and Improving: Q&A models can get even smarter over time. They learn from the questions people ask and the answers they provide, so they can give better and more accurate responses in the future.

For your reference: https://huggingface.co/tasks/question-answering