Assessing AI Chatbots Through Meta-Analysis of Deep Learning Models

EasyChair Preprint 12023

Abstract

This meta-analysis investigates the effectiveness of deep learning models in AI chatbots through a comprehensive evaluation. By synthesizing findings from various studies, this research aims to provide insights into the performance, strengths, and limitations of deep learning approaches in the development of AI chatbot systems. The analysis explores key factors such as accuracy, efficiency, user satisfaction, and scalability, shedding light on the overall efficacy of deep learning techniques in enhancing chatbot functionality.

Keyphrases: AI chatbots, Natural Language Processing, Performance, Scalability, deep learning, effectiveness, evaluation, meta-analysis, neural networks, user satisfaction

@booklet{EasyChair:12023,
  author    = {Asad Ali},
  title     = {Assessing AI Chatbots Through Meta-Analysis of Deep Learning Models},
  howpublished = {EasyChair Preprint 12023},
  year      = {EasyChair, 2024}}