Research Topics

Cloud Continuum

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Research Topics

Multi-Domain(NLP) Large Scale AI Model Optimization

Sub Project 4 - A

  • Prof. Seong-Bae Park

Multi domain AI model optimization

  • Advanced domain applied method for large scale AI model
  • Prompt optimization for efficient fine-tuning on pre-trained AI model
  • Progressive deep learning for expanding model coverage

Automated large scale AI framework development for commercial service

  • Standardized format & preprocessing module to train various domain

Concept of Multi-Domain Large Scale AI

Automated Large Scale AI for Practical use

User Customized Model Generation & Learning

Sub Project 4 - B

  • Prof. Gyeong-Moon Park

User customized model generation

  • Task model branching on pre-trained large scale transformer model
  • Task model ensemble for knowledge sharing and complex problem solving
  • Convergence of trained knowledge and hyper scale model & continual learning

Large scale AI model management using data lake

  • User data condensation and task model, large model information update to data lake
  • Coreset selection for sift valid information

Concept of User Customized Model Generation & Learning

Model Connection and Data Lake Management

Self-Tuning Agent for Customized AI Model

Sub Project 4 - C

  • Prof. Seong Tae Kim

Performance verification based on interpretation of AI model criteria

  • Feature contributed description based on Information Flow analysis
  • AI model interpretation based model debugging

Self-tuning agent for customized AI model

  • AI model dissection and neuron surgery for reduce model bias
  • Self-tuning agent for applying various AI model

Self-Tuning for Various Hierarchical AI Model

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