by enabling systems to learn from past interactions and improve their responses over time. This allows QAS to adapt to changing user needs and preferences, making them more efficient and user-friendly.
Deep learning, a subset of machine learning, has further revolutionized QAS by enabling them to handle more complex and diverse types of questions. With deep learning, QAS can analyze and understand the meaning and context of a question, rather than just matching keywords.
The future of information retrieval and question answering systems is bright, with AI continuously advancing and improving these systems. As AI continues to evolve, we can expect even more accurate and efficient QAS that can handle a wider range of questions and provide more personalized responses.