Author(s)

Skb. Rathika, Mishmala Sushith, Afreen Hussain, P. Dhivya, G.Bharathy Gnanam

  • Manuscript ID: 140106
  • Volume: 2
  • Issue: 1
  • Pages: 36–40

Subject Area: Computer Science

DOI: https://doi.org/10.64643/JATIRV2I1-140106-001
Abstract

Artificial Intelligence has significantly transformed human–computer interaction, with conversational agents emerging as one of the most impactful applications. AI-powered smart chatbots driven by Large Language Models (LLMs) represent a new generation of conversational systems capable of understanding natural language, maintaining contextual awareness, and generating human-like responses. Unlike traditional rule-based or retrieval-based chatbots, LLM-based chatbots utilize deep learning architectures trained on massive datasets to perform reasoning, language generation, and adaptive learning. This paper presents a comprehensive discussion on the design, architecture, methodology, applications, benefits, challenges, and future directions of AI-powered smart chatbots using Large Language Models. The study emphasizes their growing role in digital transformation across industries while highlighting the technical and ethical considerations associated with their deployment.

Keywords
Artificial Intelligencechatbots