Fusion: Practice and Applications

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https://doi.org/10.54216/FPA

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2692-4048ISSN (Online) 2770-0070ISSN (Print)

Volume 16 , Issue 1 , PP: 209-222, 2024 | Cite this article as | XML | Html | PDF | Full Length Article

Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI

Malathi S. 1 * , Hemamalini S. 2 , Ashwin M. 3 , Rijo Benny 4

  • 1 Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India - (malathi.raghuram@gmail.com)
  • 2 Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India - (hemamalini.selvamani@gmail.com)
  • 3 Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India - (ashwinm656@gmail.com)
  • 4 Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India - (rijob2002@gmail.com)
  • Doi: https://doi.org/10.54216/FPA.160114

    Received: July 07, 2023 Revised: November 10, 2023 Accepted: April 27, 2024
    Abstract

    The education landscape is shifting towards automation and digitalization to cater to the increasing demand for personalized learning experiences and more efficient teaching methods. In response to this trend, we propose the development of an integrated educational automation fusion platform that aims to overhaul educating and learning practices across various educational sectors. The integration of cutting-edge language models like GPT-3.5 and Gemini Pro in information retrieval and conversational AI has opened fresher opportunities, even within the realm of education. With its advanced features, LangChain, a powerful framework for large language models, enables seamless integration of AI-driven functionalities, including document analysis, question generation, and chatbot interaction, revolutionizing the educational landscape. Also, by harnessing the vast resources of the OpenAI API, our platform empowers educators and learners to engage in dynamic conversations with educational materials, generate personalized assessments, and gain deeper insights from complex datasets within a single forum. This single platform disseminates information on all facets of research and development in educational domain on the grounds of fusion practices and applications. This system is successful in combining multiple models for intelligent systems. On evaluation, our system was successful in generating decent performance compared to existing systems, even though they are singular modules. Overall, our platform aims to empower educators, students, and institutions to embrace the digital era of learning and unlock new avenues for fusion-based knowledge acquisition and innovation.

    Keywords :

    Intelligent systems , Data Fusion , LangChain , OpenAI , GPT-3.5 , Gemini Pro

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    Cite This Article As :
    S., Malathi. , S., Hemamalini. , M., Ashwin. , Benny, Rijo. Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI. Fusion: Practice and Applications, vol. , no. , 2024, pp. 209-222. DOI: https://doi.org/10.54216/FPA.160114
    S., M. S., H. M., A. Benny, R. (2024). Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI. Fusion: Practice and Applications, (), 209-222. DOI: https://doi.org/10.54216/FPA.160114
    S., Malathi. S., Hemamalini. M., Ashwin. Benny, Rijo. Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI. Fusion: Practice and Applications , no. (2024): 209-222. DOI: https://doi.org/10.54216/FPA.160114
    S., M. , S., H. , M., A. , Benny, R. (2024) . Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI. Fusion: Practice and Applications , () , 209-222 . DOI: https://doi.org/10.54216/FPA.160114
    S. M. , S. H. , M. A. , Benny R. [2024]. Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI. Fusion: Practice and Applications. (): 209-222. DOI: https://doi.org/10.54216/FPA.160114
    S., M. S., H. M., A. Benny, R. "Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI," Fusion: Practice and Applications, vol. , no. , pp. 209-222, 2024. DOI: https://doi.org/10.54216/FPA.160114