<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-1S75I7XS</identifier><date>2025</date><creator>Hribar, Luka</creator><relation>documents/doc/1/URN_NBN_SI_doc-1S75I7XS_001.pdf</relation><relation>documents/doc/1/URN_NBN_SI_doc-1S75I7XS_001.txt</relation><format format_type="issue">2</format><format format_type="volume">35</format><format format_type="type">article</format><format format_type="extent">str. 131-166</format><identifier identifier_type="ISSN">1318-0134</identifier><identifier identifier_type="COBISSID">268615683</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-1S75I7XS</identifier><language>slv</language><publisher publisher_location="Trieste">Alma Mater Europaea - ECM</publisher><publisher publisher_location="Trieste">International Institute for Archival Science</publisher><source>Atlanti</source><rights>InC</rights><subject language_type_id="slv">Arhivsko gradivo</subject><subject language_type_id="slv">digitalna humanistika</subject><subject language_type_id="slv">opisovanje arhivskega gradiva</subject><subject language_type_id="slv">Optično prepoznavanje znakov</subject><subject language_type_id="slv">popisovanje arhivskega gradiva</subject><subject language_type_id="slv">Umetna inteligenca</subject><subject language_type_id="slv">Veliki jezikovni modeli</subject><title>Applicability of general-purpose language models for archival description</title><title>practical insights and lessons learned</title></Record>