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A.I. - Powered Chatbot: Transforming Conversational Experiences
Subject area: Science,Engineering and Technology · Area of research: Machine Learning, Natural Language Processing
Abstract
The rapid advancement of artificial intelligence (AI) has led to the emergence of A.I.-powered chatbots as versatile conversational agents. These chatbots employ state-of-the-art deep learning techniques and natural language processing algorithms to engage in dynamic interactions with users across various domains. This research paper provides an extensive examination of A.I.-powered chatbots, covering their underlying architecture, training methodologies, deployment scenarios, impact on industries, ethical considerations, challenges, and future directions. Additionally, it explores potential solutions and advancements in the field to address the challenges faced by chatbots and to promote responsible and beneficial integration.
How to cite this paper
@article{1704548,
author = {Dhruv Pandey, Devansh Arora, Rohan Garg, Dr. Sudha Narang},
title = {A.I. - Powered Chatbot: Transforming Conversational Experiences},
journal = {Iconic Research And Engineering Journals},
year = {2023},
volume = {6},
number = {11},
pages = {886-888},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/17045481.pdf},
abstract = {The rapid advancement of artificial intelligence (AI) has led to the emergence of A.I.-powered chatbots as versatile conversational agents. These chatbots employ state-of-the-art deep learning techniques and natural language processing algorithms to engage in dynamic interactions with users across various domains. This research paper provides an extensive examination of A.I.-powered chatbots, covering their underlying architecture, training methodologies, deployment scenarios, impact on industries, ethical considerations, challenges, and future directions. Additionally, it explores potential solutions and advancements in the field to address the challenges faced by chatbots and to promote responsible and beneficial integration.},
month = {May},
}