logseq/pages/hls__Thesis_Proposal-Final_Version_1705303468721_0.md

file:: Thesis_Proposal-Final_Version_1705303468721_0.pdf file-path:: ../assets/Thesis_Proposal-Final_Version_1705303468721_0.pdf

• trendy ls-type:: annotation hl-page:: 1 hl-color:: red id:: 65a4e0fa-85e2-4789-8705-29e918862183
• prompt attacks in Large Language Model ls-type:: annotation hl-page:: 1 hl-color:: purple id:: 65a4e103-7823-4c2b-90ff-076440c41818 hl-stamp:: 1705304327192
• LLMs ls-type:: annotation hl-page:: 1 hl-color:: red id:: 65a4e105-e1a2-460e-bf24-bc9e54dbdc61
• better ls-type:: annotation hl-page:: 1 hl-color:: yellow id:: 65a4e113-3591-4b2b-b538-bfd89eab79d7
• ethical issues, bias, and responsible use become crucial factors to take into account ls-type:: annotation hl-page:: 1 hl-color:: yellow id:: 65a4e144-6800-4062-9813-74e865c94751