Hanooman: a Generative AI and Large Language Model Chatbot Inspired From Lord Hanuman

EasyChair Preprint no. 13926

Abstract

This paper introduces Hanooman, a generative AI and large language model chatbot inspired by the Hindu deity Lord Hanuman. Hanooman is designed to embody the qualities of strength, agility, and devotion, leveraging cutting-edge language processing capabilities to provide users with informative and engaging conversations. We explore the conceptual framework, architecture, and training procedures of Hanooman, demonstrating its potential applications in various domains. Our evaluation results show that Hanooman outperforms existing chatbots in terms of response accuracy and contextual understanding, making it a promising tool for natural language processing and human-computer interaction. Large Language Models (LLMs) and Generative AI are significant advancements in artificial intelligence, revolutionizing how we interact with technology, generate content, and understand human language. LLMs, trained on vast datasets, excel in tasks like language translation, text summarization, question answering, and creative writing. Generative AI, a subset of AI, produces autonomous output, often exhibiting astonishing levels of creativity and coherence. Indian billionaire Mukesh Ambani has joined the AI race by partnering with IIT Bombay and eight other Indian Institutes of Technology to launch "Hanooman," a collection of large language models trained in 22 Indian languages.

Keyphrases: Artificial Intelligence, Generative AI, Hanooman, Large Language Model

@Booklet{EasyChair:13926,
  author = {Raja Vavekanand},
  title = {Hanooman: a Generative AI and Large Language Model Chatbot Inspired From Lord Hanuman},
  howpublished = {EasyChair Preprint no. 13926},

  year = {EasyChair, 2024}}