Enhancing Writing Skills of Chilean Adolescents: Assisted Story Creation with LLMs
Résumé
This study presents an automatic story generation model in Chilean Spanish, designed to assist students in the writing process and help improve their writing skills. The methodology employed includes the creation of a corpus of stories in Spanish and Chilean Spanish, as well as data processing and extraction of relevant information from the stories. The model is trained using fine-tuning and promptengineering techniques to adapt it to story generation. The results obtained indicate that the stories generated by the model outperform other text generation models in terms of relevant natural language processing metrics.
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