Translations:FACTS About Building Retrieval Augmented Generation-based Chatbots/6/zh: Difference between revisions

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Chatbots are increasingly becoming an extension of search tools in companies for finding relevant information. Whether it’s HR benefits, IT help, sales queries, or engineering issues, enterprise chatbots are now go-to productivity tools. Before the debut of OpenAI’s Chat-GPT ([[#bib.bib2|2]]) in November 2022, companies relied on internally developed chatbots based on dialog flows. Such bots required extensive training for intent understanding and meticulous orchestration for response generation and yet could only provide extractive answers at best. These early bots, built on dialog management systems paired with information retrieval and question answering (IRQA) solutions were fragile and limited in capability. While previous generation language models and GPT models existed, they lacked the accuracy, robustness, and reliability needed for broad enterprise use ([[#bib.bib5|5]]).

聊天机器人正日益成为公司中搜索工具的延伸，用于查找相关信息。无论是人力资源福利、IT帮助、销售查询还是工程问题，企业聊天机器人现在已成为首选的生产力工具。在OpenAI的Chat-GPT于2022年11月推出之前，公司依赖于基于对话流的内部开发聊天机器人。这些机器人需要广泛的训练以理解意图，并需要精心编排以生成响应，但最多只能提供提取式答案。这些早期的机器人建立在对话管理系统之上，结合信息检索和问答（IRQA）解决方案，功能脆弱且能力有限。虽然以前的语言模型和GPT模型已经存在，但它们缺乏广泛企业使用所需的准确性、稳健性和可靠性。