From ChatGPT to DeepSeek AI: A Comprehensive Analysis of Evolution, Deviation, and Future Implications in AI-Language Models

TL;DR

This paper analyzes the evolution from ChatGPT to DeepSeek AI, comparing their architectures, performance, and ethical considerations, and discusses future implications for AI development and applications in various industries.

Contribution

It provides a comprehensive analysis of the technical differences, practical applications, and ethical aspects of ChatGPT and DeepSeek AI, highlighting their evolution and future research directions.

Findings

DeepSeek AI shows significant improvements over ChatGPT in performance and architecture.

Evaluation reveals strengths and limitations of both models across multiple domains.

The analysis offers insights into future AI development and industry transformation.

Abstract

The rapid advancement of artificial intelligence (AI) has reshaped the field of natural language processing (NLP), with models like OpenAI ChatGPT and DeepSeek AI. Although ChatGPT established a strong foundation for conversational AI, DeepSeek AI introduces significant improvements in architecture, performance, and ethical considerations. This paper presents a detailed analysis of the evolution from ChatGPT to DeepSeek AI, highlighting their technical differences, practical applications, and broader implications for AI development. To assess their capabilities, we conducted a case study using a predefined set of multiple choice questions in various domains, evaluating the strengths and limitations of each model. By examining these aspects, we provide valuable insight into the future trajectory of AI, its potential to transform industries, and key research directions for improving AI-driven language models.