  <?xml version="1.0"?>
<journal>
 <journal_metadata>
  <full_title>Fusion: Practice and Applications</full_title>
  <abbrev_title>FPA</abbrev_title>
  <issn media_type="print">2692-4048</issn>
  <issn media_type="electronic">2770-0070</issn>
  <doi_data>
   <doi>10.54216/FPA</doi>
   <resource>https://www.americaspg.com/journals/show/2793</resource>
  </doi_data>
 </journal_metadata>
 <journal_issue>
  <publication_date media_type="print">
   <year>2018</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2018</year>
  </publication_date>
 </journal_issue>
 <journal_article publication_type="full_text">
  <titles>
   <title>Knowledge Navigator: Revolutionizing Education through LLMs in Generative AI</title>
  </titles>
  <contributors>
   <organization sequence="first" contributor_role="author">Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India</organization>
   <person_name sequence="first" contributor_role="author">
    <given_name>Malathi</given_name>
    <surname>Malathi</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Hemamalini. </given_name>
    <surname>..</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Ashwin.</given_name>
    <surname>M.</surname>
   </person_name>
   <organization sequence="first" contributor_role="author">Department of Artificial Intelligence and Data Science, Panimalar Engineering College, India</organization>
   <person_name sequence="additional" contributor_role="author">
    <given_name>Rijo</given_name>
    <surname>Benny</surname>
   </person_name>
  </contributors>
  <jats:abstract xml:lang="en">
   <jats:p>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.</jats:p>
  </jats:abstract>
  <publication_date media_type="print">
   <year>2024</year>
  </publication_date>
  <publication_date media_type="online">
   <year>2024</year>
  </publication_date>
  <pages>
   <first_page>209</first_page>
   <last_page>222</last_page>
  </pages>
  <doi_data>
   <doi>10.54216/FPA.160114</doi>
   <resource>https://www.americaspg.com/articleinfo/3/show/2793</resource>
  </doi_data>
 </journal_article>
</journal>
