Vertical language model based on SingSharp's knowledge base | 香港都会大学学生作品资料库

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识别号: stcompfyp:183
题名: Vertical language model based on SingSharp's knowledge base
作品类型: Final Year Project/Work
系列 / 集 / 库: S&T Best Computing Projects
创建者: Leung, Chun Hung Jonas (group member)
Kuai, Le (group member)
Yi, Yicheng (group member)
Li, Zongxi Roy 李宗禧 (supervisor)
学院 / 部门: School of Science and Technology (S&T)
课程: 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.
资料类型: Mixed
语言: English
资料描述: This work includes 1 PDF file and 2 video clips.
存取限制: Public Access
固定连结: https://repository.lib.hkmu.edu.hk/sw/islandora/object/stcompfyp:183

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