Year: 2025
Type: article
Abstract: Artificial intelligence models have rapidly evolved, leading to the development of advanced large language models (LLMs) like DeepSeek R1 and ChatGPT. These models represent significant advancements in natural language processing and generative tasks, each offering unique features and capabilities. This study provides a comprehensive comparison of the two, focusing on their architectures, functionalities, and applications across various domains. It highlights the strengths of DeepSeek R1, such as its versatility in handling multiple types of content, and contrasts them with ChatGPT’s conversational and interactive abilities. The analysis also addresses the limitations of both models, including computational requirements and customization challenges. Differentiation tables, flowcharts, and graphical representations are used to visually depict the key distinctions, offering a clearer understanding of their respective advantages and drawbacks. This comparison aims to guide users in choosing the most suitable model based on specific needs, technical expertise, and available resources. By offering a detailed overview of these models, the paper provides insights into how each can be leveraged in real-world applications, ensuring that users can make informed decisions that best align with their goals and requirements.
Source: Journal of Neonatal Surgery
Authors: Prerna Ajmani, Garima Saini, Snehlata Sheoran, Ishika Gupta, Hriday Gupta, Shubham Gupta, Krishika Khandelwal
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410006323