What Is Question Answering AI?
Question answering AI refers to systems and models designed to understand natural language questions posed by users and provide relevant and accurate answers. These systems leverage techniques from natural language processing (NLP), machine learning, and sometimes deep learning to comprehend the meaning of questions and generate appropriate responses.
The goal of question answering AI is to enable machines to interact with users in a way that simulates human-like comprehension and communication. In the ever-evolving domain of natural language processing (NLP), the advent of models like Bidirectional Encoder Representation Transformers (BERT) has opened doors to profound advancements, enabling machines to comprehend and generate human-like text with unprecedented accuracy. These models become more intricate, setting benchmarks in a variety of tasks, from simple text classification to complex question answering AI.