We present WeaverBird, an intelligent dialogue system designed specifically for the finance domain. Our system harnesses a large language model of GPT architecture that has been tuned using extensive corpora of finance-related text. As a result, our system possesses the capability to understand complex financial queries, such as "How should I manage my investments during inflation?", and provide informed responses. Furthermore, our system incorporates a local knowledge base and a search engine to retrieve relevant information. The final responses are conditioned on the search results and include proper citations to the sources, thus enjoying an enhanced credibility. Through a range of finance-related questions, we have demonstrated the superior performance of our system compared to other models. To experience our system firsthand, users can interact with our live demo at https://weaverbird.ttic.edu, as well as watch our 2-min video illustration at https://www.youtube.com/watch?v=yofgeqnlrMc.

翻译：我们提出WeaverBird，一个专为金融领域设计的智能对话系统。该系统基于GPT架构的大语言模型，通过大量金融相关文本语料进行调优，从而具备理解复杂金融查询（例如“在通胀期间应如何管理投资？”）并提供专业回答的能力。此外，系统集成本地知识库与搜索引擎以检索相关信息，最终响应基于搜索结果生成，并附有来源引用，显著提升了可信度。通过一系列金融领域问题的测试，我们证明了该系统相比其他模型具有更优性能。用户可通过交互式演示系统（https://weaverbird.ttic.edu）亲身体验，或观看2分钟视频演示（https://www.youtube.com/watch?v=yofgeqnlrMc）。