UCLA

With globalization escalating, multinational companies frequently hold meetings involving both domestic and international employees. However, time zone differences often result in international employees missing some meetings. This thesis explores an innovative solution to address this issue and ensure that colleagues who miss meetings can quickly catch up on the content. The core of this solution involves fine-tuning the Whisper model to convert audio recordings of meetings to text, followed by advanced summary transformers based on fine-tuning Llama3 and specific prompts to summarize the converted text. The resulting summaries provide a concise and comprehensive overview of the meeting's content, which can then be distributed to employees who could not attend due to time zone constraints. This approach not only enhances the efficiency of work communication among colleagues but also optimizes the global management and operational efficiency of the company.