WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine
arxiv(2023)
摘要
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.
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