Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. KMITL
  3. Publication
  4. Using DeepSeek LLM AI System on Database Concepts and Design
Loading...
Thumbnail Image

Using DeepSeek LLM AI System on Database Concepts and Design

Author(s)
Pornphol, Putsadee
Chittayasothorn, Suphamit
Date Issued
January 1, 2025
Type
Conference Paper
DOI
10.1109/ICCCI65070.2025.11158105
Abstract
The use of Large Language Model (LLM) artificial intelligence (AI) systems in learning environments is ubiquitous. They are used by learners for self-studying, assignments, and exam preparation. Practitioners use them as junior assistants. Major concerns include the correctness and the completeness of the answers generated by the AI systems. In this paper, we explore how well an LLM AI system DeepSeek, answers database concepts and design questions. Selected questions on database design and frequently misunderstood topics are asked. Related knowledge is explained. The answers are reviewed and marked to provide an assessment on its use in the subject area.
Citation
Proceedings of the IEEE International Conference on Computer Communication and the Internet Iccci, 153-159, 2025
Subjects

Database Design

DeepSeek

ER Model

LLM AI

Relational Database

Metrics
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your Institution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback