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Fairy Tale Text Generation by Brief Description

Student: Sidorova Anastasiya

Supervisor: Elena Kantonistova

Faculty: Faculty of Computer Science

Educational Programme: Machine Learning and Data-Intensive Systems (Master)

Year of Graduation: 2024

Modern deep learning methods, especially large language models (LLMs), provide new capabilities in the field of text generation. This thesis examines the process of developing a high-load application for generating fairy tale texts based on a short description using the Mistral model, additionally trained on a specialized data set. The main focus is on setting up LLM to create personalized text - a personal fairy tale, as well as developing an effective application architecture that can process a large number of requests and provide high-quality answers based on user data.

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