TY  - JOUR
AU  - Dr. B. Ravikrishna
AU  - Vinuthna Taduru
AU  - Arvind Reddy Ravula
AU  - V Shiva Kumar
AU  - G Samuel  Ashish
PY  - 2025
DA  - 2025/06/27
TI  - Gen AI Content Generation Model Using LLM Without Internet
JO  - Global Journal of Engineering Innovations and Interdisciplinary Research
VL  - 5
IS  - 4
AB  - 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.
SN  - 3066-1226
UR  - https://dx.doi.org/10.33425/3066-1226.1131
DO  - 10.33425/3066-1226.1131