INTEROPERABLE WEB SYSTEM FOR GENERATION OF LEARNING RESOURCES ON THE BASE OF LLM AND PROMPT ENGINEERING

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dc.contributor.authorKakun, Artem
dc.date.accessioned2024-02-21T12:43:44Z
dc.date.available2024-02-21T12:43:44Z
dc.date.issued2024
dc.description.abstractThe aim of the work is to create a system based on LLM and prompt engineering for generating educational materials. The proposed work consists of three main parts. Chapter 1 examines the progress of generative AI, such as Chat GPT, in education, focusing on its role in personalized learning and the importance of prompt engineering to maximize the effectiveness of AI usage. The proposed work outlines strategies for developing prompts to elicit accurate AI responses for educational purposes. Chapter 2 presents a detailed solution overview and architectural framework. The chapter outlines the business and architectural requirements, emphasizing the need for high scalability and portability. It also discusses the technology stack, the risks associated with relying on the OpenAI API, and the cost implications of the project. Chapter 3 summarises the work done on an AI-based educational material generation system. The chapter suggests areas for improvement, such as user authorisation, prompt updating mechanisms, skills analysis tools, and an educational chatbot. Overall, the successful integration of OpenAI models demonstrates the potential of the system in educational content generation.
dc.identifier.urihttps://er.auk.edu.ua/handle/234907866/37
dc.language.isoen_US
dc.subjectLLM
dc.subjectOpenAI API
dc.subjectLangChain
dc.subjectprompt engineering
dc.subjectPython
dc.subjecteducational materials
dc.titleINTEROPERABLE WEB SYSTEM FOR GENERATION OF LEARNING RESOURCES ON THE BASE OF LLM AND PROMPT ENGINEERING
dc.title.alternativeІНТЕРОПЕРАБЕЛЬНА ВЕБ-СИСТЕМА ДЛЯ СТВОРЕННЯ НАВЧАЛЬНИХ РЕСУРСІВ НА БАЗІ LLM ТА PROMPT ІНЖИНІРИНГУ
dc.typeThesis

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