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/JATIRV2I1-140106-001Abstract
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.