Year: 2024
Type: article
Abstract: This technical article examines the architecture, implementation, and performance considerations of modern AI-powered chatbot systems. The article explores various components including natural language understanding pipelines, dialog management systems, scalability solutions, and advanced features. It investigates the integration of multiple technologies such as natural language processing, machine learning, and distributed systems architecture, highlighting their collective role in enhancing user interactions. The article delves into crucial aspects of chatbot implementation, including context awareness, personalization capabilities, security measures, and performance optimization techniques. Additionally, the article covers monitoring and analytics frameworks, as well as emerging trends and future considerations in chatbot development, providing a comprehensive overview of the current state and future direction of conversational AI systems.
Author: Dr. Rohith Vangalla -
Institution: Optum (United States)
Language: English
Topic: Speech and dialogue systems
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4406003138