Оцінка ефективності різних моделей навчання чат-ботів на діалогових наборах даних

Ляшенко, Роман Олегович

URI: http://elibrary.kdpu.edu.ua/xmlui/handle/123456789/10250

Date: 2024-06-12

Abstract:

У кваліфікаційній роботі досліджена ефективність різних моделей навчання чат-ботів на діалогових наборах даних. Основні результати дослідження: 1. Проведено бібліометричний аналіз 549 джерел з бази Scopus, який дозволив виявити нижню хронологічну межу зростання кількості публікацій (2018 рік) та згрупувати ключові слова джерел у 4 кластери: опрацювання природної мови; застосування технологій опрацювання мови у суспільстві; використання машинного навчання для опрацювання мови; чат-боти у навчанні та послугах. 2. Визначено основні моделі навчання чат-ботів: з учителем на основі рекурентних і трансформерних нейромереж; з підкріпленням та генеративно-змагальні мережі; трансферне навчання шляхом тонкого налаштування попередньо навчених моделей. Для оцінки ефективності використовуються автоматичні метрики та експертна оцінка. 3. Сформовано два набори даних з публікацій "CEUR Workshop Proceedings" та журналу "Інформаційні технології та засоби навчання". Обґрунтовано вибір моделей GPT2-XL та gpt2-uk, реалізовано їх донавчання на створених текстових корпусах та протестовано роботу з графічним інтерфейсом. Отримані результати можуть бути використані для подальших досліджень щодо створення ефективних та спеціалізованих чат-ботів із застосуванням сучасних підходів до навчання великих мовних моделей.

Description:

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