对比ChatGPT与DeepSeek AI的演进差异，揭示下一代语言模型发展方向。
From ChatGPT to DeepSeek AI: A Comprehensive Analysis of Evolution, Deviation, and Future Implications in AI-Language Models
- 通过多领域选择题测试，系统比较两模型的技术差异。
- DeepSeek AI在架构与伦理设计上优于ChatGPT，表现更稳健。
- 适合关注AI演进趋势与产业应用的研究者与开发者。
人工智能的快速发展重塑了自然语言处理领域，以OpenAI的ChatGPT和DeepSeek AI为代表的语言模型展现了显著进展。尽管ChatGPT奠定了对话式AI的基础，但DeepSeek AI在架构、性能与伦理考量方面实现了重要突破。本文深入分析从ChatGPT到DeepSeek AI的演化路径，重点对比其技术差异、实际应用表现及对AI发展的深远影响。为评估模型能力，我们基于预设的多领域选择题集开展案例研究，全面考察各模型的优势与局限。研究结果为理解AI未来走向、推动行业变革以及明确关键研究方向提供了重要参考。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。