AAI_2025_Capstone_Chronicles_Combined

‭ResolveAI‬

‭Table of Contents‬

‭Abstract‬‭........................................................................................................................................‬‭3‬ ‭Introduction‬‭..................................................................................................................................‬‭4‬ ‭Problem‬‭Formulation‬‭...............................................................................................................‬‭4‬ ‭Desired‬‭State‬‭...........................................................................................................................‬‭5‬ ‭Dataset‬‭Summary‭.‬.......................................................................................................................‬‭5‬ ‭Dataset‬‭Introduction‬‭.................................................................................................................‬‭5‬ ‭Exploratory‬‭Data‬‭Analysis‭.‬.......................................................................................................‬‭7‬ ‭Background‬‭Information‬‭...........................................................................................................‬‭11‬ ‭Pre-existing‬‭Applications‭.‬.......................................................................................................‬‭11‬ ‭Our‬‭Approach‬‭.........................................................................................................................‬‭11‬ ‭Additional‬‭Components‬‭..........................................................................................................‬‭12‬ ‭Experimental‬‭Methods‬‭..............................................................................................................‬‭14‬ ‭Model‬‭Architecture‬‭.................................................................................................................‬‭15‬ ‭Model‬‭Training‬‭Procedure‬‭......................................................................................................‬‭16‬ ‭Model‬‭Optimization‬‭................................................................................................................‬‭18‬ ‭LLM‬‭with‬‭Retrieval‬‭Augmented‬‭Generation‬‭...........................................................................‬‭18‬ ‭Results‭.‬.......................................................................................................................................‬‭19‬ ‭Model‬‭Effectiveness‭.‬..............................................................................................................‬‭19‬ ‭Performance‬‭Impact‭.‬.............................................................................................................‬‭21‬ ‭LLM‬‭with‬‭RAG‬‭Results‭.‬..........................................................................................................‬‭22‬ ‭Next‬‭Steps‭.‬............................................................................................................................‬‭23‬ ‭References‭.‬................................................................................................................................‬‭24‬

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