👉 Answer computing, also known as response computing or query answering, is a process in artificial intelligence where a system generates a direct, concise answer to a user's question or query. This involves several steps: understanding the input through natural language processing (NLP) to interpret the user's intent and context, retrieving relevant information from a database or knowledge graph, and then synthesizing this data to produce a coherent, human-like response. Advanced models like transformers are often employed to achieve this, leveraging deep learning techniques to improve accuracy and relevance. The goal is to provide timely, accurate, and contextually appropriate answers, mimicking human-like understanding and communication.
