Existing approaches to understanding, developing and researching modern wireless communication technologies involves time-intensive and arduous process of sifting through numerous webpages and technical specification documents, gathering the required information and synthesizing it. This paper presents NextGen Communications Copilot, a conversational artificial intelligence tool for information synthesis of wireless communication specifications. The system builds on top of recent advancements in foundation models and consists of three key additional components: a domain-specific database, a context extractor, and a feedback mechanism. The system appends user queries with concise and query-dependent contextual information extracted from a database of wireless technical specifications and incorporates tools for expert feedback and data contributions. On evaluation using a benchmark dataset of queries and reference responses created by subject matter experts, the system demonstrated more relevant and accurate answers with an average BLEU score and BERTScore F1-measure of 0.37 and 0.79 respectively compared to the corresponding values of 0.07 and 0.59 achieved by state-of-the-art tools like ChatGPT.

翻译：现有理解、开发和研究现代无线通信技术的方法涉及耗时且繁琐的过程，需要浏览大量网页和技术规范文档，收集所需信息并进行综合。本文提出下一代通信助手（NextGen Communications Copilot），一种用于无线通信规范信息合成的对话式人工智能工具。该系统基于基础模型的最新进展构建，包含三个关键附加组件：领域特定数据库、上下文提取器和反馈机制。系统将用户查询与从无线技术规范数据库中提取的简洁且与查询相关的上下文信息相结合，并集成了专家反馈和数据贡献工具。在使用领域专家创建的基准查询数据集和参考答案进行评估时，该系统生成了更相关且准确的答案，其平均BLEU分数和BERTScore F1值分别达到0.37和0.79，而像ChatGPT这样的先进工具仅为0.07和0.59。