Gen AI Content Generation Model Using LLM Without Internet

Authors

  • Dr. B. Ravi krishna Associate Professor, Department AI & DS Science, Vignan Institute of Technology and Science, Hyderabad, India Author
  • Vinuthna Taduru UG Student, Department of AI&DS, Vignan Institute of Technology and Science, Hyderabad, India Author
  • Arvind Reddy Ravula UG Student, Department of AI&DS, Vignan Institute of Technology and Science, Hyderabad, India Author
  • V Shiva Kumar UG Student, Department of AI&DS, Vignan Institute of Technology and Science, Hyderabad, India Author
  • G Samuel Ashish UG Student, Department of AI&DS, Vignan Institute of Technology and Science, Hyderabad, India Author

DOI:

https://doi.org/10.33425/3066-1226.1131

Keywords:

Natural Language Model, Deep Learning, Fine Tuning

Abstract

The Gen AI content generation model uses the LLAMA-3.1-8B model where 8B implies 8 billion
parameters to effectively produce customized content. It generates the content based on three inputs:
topic, word count, and complexity level, which can be easy, medium, or hard. The front-end development
is done by using Streamlit and CSS-based interface to make the model user-friendly. Backend functions
are supported by LangChain and CTransformers modules for proper communication. It is totally an
offline-working model that minimizes reliance on servers or even internet access in favor of increased
security. This pre-training will have been extensive over datasets that try to uncover all patterns while
the fine-tuning is toward applications in various tasks, thereby perfecting text summarization, question
answering, content generation, or even classification tasks.

Downloads

Published

2025-07-28

Issue

Vol. 5 No. 4

Section

Articles