Case study – Global chat application deployment by a multinational organization
A global firm recently launched an advanced internal chat application featuring a Q&A support chatbot. This innovative tool, deployed across various Azure regions, integrates several large language models, including the specialized finance model, BloombergGPT. To meet specific organizational requirements, bespoke plugins were developed. It had an integration with Service Now, empowering the chatbot to streamline ticket generation and oversee incident actions.
In terms of data refinement, the company meticulously preprocessed its knowledge base (KB) information, eliminating duplicates, special symbols, and stop words. The KB consisted of answers to frequently asked questions and general information to various support-related questions. They employed fixed chunking approaches, exploring varied chunk sizes, before embedding these data into the Azure AI search. Their methodology utilized Azure...
