FINE-TUNING ARTIFICIAL INTELLIGENCE MODELS FOR ENHANCED MILITARY APPLICATIONS
FINE-TUNING ARTIFICIAL INTELLIGENCE MODELS FOR ENHANCED MILITARY APPLICATIONS

Author(s): Alexandra-Codruța NEAGU
Subject(s): Politics / Political Sciences, Politics, Security and defense
Published by: Carol I National Defence University Publishing House
Keywords: artificial intelligence; fine-tuning; transfer-learning; problem adaptability; military field; digitalization;
Summary/Abstract: Artificial intelligence is capable of working with niche domains and can be easily adapted using techniques like transfer learning and fine-tuning. Existing AI applications offer the possibility to be adapted according to different languages or domain requirements. The military system is a specialized domain that uses different vocabulary, semantics, management styles, and organizational structures compared to civilian settings. This means that existing solutions need to be carefully adjusted to fit these unique requirements. This paper explains the possibility to use fine-tuning methods to adapt different AI models in context of military domain, offers examples that could solve different problems using existing implementations and outlines the advantages and disadvantages that come with using these solutions.

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