A first approach to the generation of linguistic  summaries from glucose sensors using GPT-4

dc.contributor.author	Martínez Cruz, Carmen
dc.contributor.author	Gaitán Guerrero, Juan Francisco
dc.contributor.author	López Ruíz, José Luis
dc.contributor.author	Rueda, Antonio
dc.contributor.author	Espinilla Estévez, Macarena
dc.date.accessioned	2024-04-17T07:02:01Z
dc.date.available	2024-04-17T07:02:01Z
dc.date.issued	2023-11-30
dc.identifier.other	https://doi.org/10.1007/978-3-031-48642-5_4	es_ES
dc.identifier.uri	https://hdl.handle.net/10953/2642
dc.language.iso	eng	es_ES
dc.publisher	Springer	es_ES
dc.relation.ispartof	Springer	es_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es_ES
dc.subject	Linguistic summaries · Computing with words · Glucose level · Sensors · ChatGPT · Artificial Intelligence · GPT-4 · Large lan guage models	es_ES
dc.title	A first approach to the generation of linguistic summaries from glucose sensors using GPT-4	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.type.version	info:eu-repo/semantics/acceptedVersion	es_ES