<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-2FZQ2Y8U/fe64dc71-201b-41b1-a74a-d70bf6e0b615/PDF"><dcterms:extent>4090 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-2FZQ2Y8U/be6b2212-d4e4-4d61-b266-89a53351b886/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:TimeSpan rdf:about="2014-2025"><edm:begin xml:lang="en">2014</edm:begin><edm:end xml:lang="en">2025</edm:end></edm:TimeSpan><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-2FZQ2Y8U"><dcterms:isPartOf rdf:resource="https://www.dlib.si/details/URN:NBN:SI:spr-QCV9XF2O" /><dcterms:issued>2025</dcterms:issued><dc:creator>Brezočnik, Miran</dc:creator><dc:creator>Ficko, Mirko</dc:creator><dc:creator>Klančnik, Simon</dc:creator><dc:creator>Potočnik, David</dc:creator><dc:creator>Šket, Kristijan</dc:creator><dc:format xml:lang="sl">številka:2</dc:format><dc:format xml:lang="sl">letnik:20</dc:format><dc:format xml:lang="sl">str. 224-238</dc:format><dc:identifier>DOI:10.14743/apem2025.2.537</dc:identifier><dc:identifier>ISSN:1855-6531</dc:identifier><dc:identifier>COBISSID_HOST:256562947</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-2FZQ2Y8U</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</dc:publisher><dcterms:isPartOf xml:lang="sl">Advances in production engineering and management</dcterms:isPartOf><dc:subject xml:lang="en">ChatGPT</dc:subject><dc:subject xml:lang="en">CNC machining</dc:subject><dc:subject xml:lang="sl">CNC obdelava</dc:subject><dc:subject xml:lang="en">G-code programming</dc:subject><dc:subject xml:lang="en">generative artificial intelligence</dc:subject><dc:subject xml:lang="sl">generativna umetna inteligenca</dc:subject><dc:subject xml:lang="en">intelligent manufacturing;</dc:subject><dc:subject xml:lang="en">large language models (LLM)</dc:subject><dc:subject xml:lang="sl">pametna proizvodnja</dc:subject><dc:subject xml:lang="sl">programiranje z G-kodo</dc:subject><dc:subject xml:lang="sl">veliki jezikovni modeli</dc:subject><dcterms:temporal rdf:resource="2014-2025" /><dc:title xml:lang="sl">Large language models for G-code generation in CNC machining: A comparison of ChatGPT-3.5 and ChatGPT-4o|</dc:title><dc:description xml:lang="sl">This research explores the viability of producing ISO G-code for 3-axis machining with OpenAI's Chat Generative Pre-Trained Transformer models, particularly ChatGPT-3.5 and the newer GPT-4o. G-code (RS-274-D, ISO 6983) converts human directives into commands that machines can understand, controlling toolpaths, spindle velocities, and feed rates to produce particular aspects of an object. Previously, G-code was generated either by hand or through the use of computer-aided manufacturing (CAM) software along with machine-specific post-processors, both of which may require considerable time and expense. This research aimed to assess the practicality and effectiveness of specific large language models (LLMs) in generating G-code. The assessment took place in three distinct phases on a sample component that required 3-axis machining. These phases included: (1) the self-generated production of G-code for the sample component, (2) the examination of the independently generated G-code in the CAM application, and (3) the recognition and justification of mistakes in the G-code. The outcomes indicated varying abilities with promising findings. This method could accelerate and possibly enhance manufacturing workflows by decreasing reliance on expensive CAM software and specialized knowledge</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-2FZQ2Y8U"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-2FZQ2Y8U" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-2FZQ2Y8U/fe64dc71-201b-41b1-a74a-d70bf6e0b615/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza v Mariboru, Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-2FZQ2Y8U/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-2FZQ2Y8U" /></ore:Aggregation></rdf:RDF>