Evaluating ChatGPT in Computer Science: a Comprehensive Review

EasyChair Preprint 11837

Abstract

In the rapidly evolving landscape of natural language processing (NLP) within computer science, the advent of advanced language models like ChatGPT has spurred significant interest and exploration. This comprehensive review aims to evaluate the efficacy of ChatGPT in the realm of computer science applications, shedding light on its language fluency, contextual understanding, and suitability for various tasks. Employing a rigorous methodology, we delve into the model's architecture, performance metrics, and real-world applications within computer science domains. Through an analysis of strengths, challenges, and comparative assessments with other language models, this review provides a nuanced understanding of ChatGPT's role in advancing NLP capabilities in computer science. The findings and insights presented herein contribute to a deeper appreciation of the model's potentials, limitations, and avenues for future research in the dynamic intersection of language models and computer science.

Keyphrases: ChatGPT, Computer Science, review

@booklet{EasyChair:11837,
  author    = {Karem Mohammed},
  title     = {Evaluating ChatGPT in Computer Science: a Comprehensive Review},
  howpublished = {EasyChair Preprint 11837},
  year      = {EasyChair, 2024}}