Vertical language model based on SingSharp's knowledge base | 香港都會大學學生作品資料庫

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識別號: stcompfyp:183
題名: Vertical language model based on SingSharp's knowledge base
作品類型: Final Year Project/Work
系列 / 集 / 庫: S&T Best Computing Projects
創建者: Leung, Chun Hung Jonas (group member)
Kuai, Le (group member)
Yi, Yicheng (group member)
Li, Zongxi Roy 李宗禧 (supervisor)
學院 / 部門: School of Science and Technology (S&T)
課程: Bachelor of Computing with Honours in Internet Technology
日期: 2024
摘要: The aim of this project is to implement a RAG framework to enhance the effectiveness of the LLaMA-2 model within the singing domain. By employing Semantic Textual Similarity (STS) techniques, the model will retrieve the most relevant context from the vocal arts specialized knowledge base on singing.
資料類型: Mixed
語言: English
資料描述: This work includes 1 PDF file and 2 video clips.
存取限制: Public Access
固定連結: https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:183

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