Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model
This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of materials for educators and students is essenti...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
|
| Series: | Applied System Innovation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2571-5577/7/1/17 |
| _version_ | 1797298937137201152 |
|---|---|
| author | Diana Bratić Marko Šapina Denis Jurečić Jana Žiljak Gršić |
| author_facet | Diana Bratić Marko Šapina Denis Jurečić Jana Žiljak Gršić |
| author_sort | Diana Bratić |
| collection | DOAJ |
| description | This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of materials for educators and students is essential. This paper presents a hybrid model based on the transformer framework and utilizing an API for an existing large language model (LLM)/chatbot. This integration ensures precise responses drawn from a comprehensive educational materials database. The model architecture uses mathematically defined algorithms for precise functions that enable deep text processing through advanced word embedding methods. This approach improves accuracy in natural language processing and ensures both high efficiency and adaptability. Therefore, this paper not only provides a technical solution to a prevalent problem but also highlights the potential for the continued development and integration of emerging technologies in education. The aim is to create a more efficient, transparent, and accessible educational environment. The importance of this research lies in its ability to streamline material access, benefiting the global scientific community and contributing to the continuous advancement of educational technology. |
| first_indexed | 2024-03-07T22:42:17Z |
| format | Article |
| id | doaj.art-0fdff2b20d37488391365ca996f47d4d |
| institution | Directory Open Access Journal |
| issn | 2571-5577 |
| language | English |
| last_indexed | 2024-03-07T22:42:17Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied System Innovation |
| spelling | doaj.art-0fdff2b20d37488391365ca996f47d4d2024-02-23T15:06:58ZengMDPI AGApplied System Innovation2571-55772024-02-01711710.3390/asi7010017Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid ModelDiana Bratić0Marko Šapina1Denis Jurečić2Jana Žiljak Gršić3Faculty of Graphic Arts, University of Zagreb, Getaldićeva 2, 10000 Zagreb, CroatiaFaculty of Graphic Arts, University of Zagreb, Getaldićeva 2, 10000 Zagreb, CroatiaFaculty of Graphic Arts, University of Zagreb, Getaldićeva 2, 10000 Zagreb, CroatiaDepartment of Informatics & Computing, Zagreb University of Applied Sciences, 10000 Zagreb, CroatiaThis paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of materials for educators and students is essential. This paper presents a hybrid model based on the transformer framework and utilizing an API for an existing large language model (LLM)/chatbot. This integration ensures precise responses drawn from a comprehensive educational materials database. The model architecture uses mathematically defined algorithms for precise functions that enable deep text processing through advanced word embedding methods. This approach improves accuracy in natural language processing and ensures both high efficiency and adaptability. Therefore, this paper not only provides a technical solution to a prevalent problem but also highlights the potential for the continued development and integration of emerging technologies in education. The aim is to create a more efficient, transparent, and accessible educational environment. The importance of this research lies in its ability to streamline material access, benefiting the global scientific community and contributing to the continuous advancement of educational technology.https://www.mdpi.com/2571-5577/7/1/17centralized databaseeducational materialstransformer frameworkNLPAPI implementationLLM/chatbot |
| spellingShingle | Diana Bratić Marko Šapina Denis Jurečić Jana Žiljak Gršić Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model Applied System Innovation centralized database educational materials transformer framework NLP API implementation LLM/chatbot |
| title | Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model |
| title_full | Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model |
| title_fullStr | Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model |
| title_full_unstemmed | Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model |
| title_short | Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model |
| title_sort | centralized database access transformer framework and llm chatbot integration based hybrid model |
| topic | centralized database educational materials transformer framework NLP API implementation LLM/chatbot |
| url | https://www.mdpi.com/2571-5577/7/1/17 |
| work_keys_str_mv | AT dianabratic centralizeddatabaseaccesstransformerframeworkandllmchatbotintegrationbasedhybridmodel AT markosapina centralizeddatabaseaccesstransformerframeworkandllmchatbotintegrationbasedhybridmodel AT denisjurecic centralizeddatabaseaccesstransformerframeworkandllmchatbotintegrationbasedhybridmodel AT janaziljakgrsic centralizeddatabaseaccesstransformerframeworkandllmchatbotintegrationbasedhybridmodel |