Generative Search Engine

Generative search engines aim to revolutionize information retrieval by using large language models (LLMs) to synthesize information from multiple sources and generate comprehensive, human-readable answers to user queries, rather than simply listing links. Current research focuses on improving the accuracy, trustworthiness, and verifiability of these generated responses, including developing methods for source attribution and evaluating the robustness of these systems against adversarial inputs. This field is significant because it promises to enhance user experience and knowledge access, but also presents challenges related to misinformation, bias, and the need for responsible AI development and deployment.