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Research
Applications for Natural Language Processing
Applications for Natural Language Processing
Korean Language Resource Evaluation (효과적인 한국어 언어자원 설계 및 구축 방법연구)
- Bllossom Project https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8BLanguage Model for Dialogue System (Chatbot)
Vision-Language Model
Vision-Langauge-Action Model
Traditional NLP systems. Morphological Analysis (형태소분석), Dependency Parsing (의존구조분석)
Large Language Model (LLM) & dataset based on Linguistic features
Large Language Model (LLM) & dataset based on Linguistic features
Lead of the Bllossom project. (https://www.bllossom.ai) (https://huggingface.co/MLP-KTLim/llama-3-Korean-Bllossom-8B)
Lead of the Universal Korean Language Resource project. (https://sites.google.com/view/universal-korean)
Visual Question Answering & Video Story Understanding
Visual Question Answering & Video Story Understanding
Visual Question Answering (VQA) is a question-answering system that answers user's questions based on the input image and question.
Bllossom-V: Vision-Language Model
Bllossom-V: Vision-Language Model
What we have done (KBVQA Chatbot)
What we have done (KBVQA Chatbot)
Applied Artificial Intelligence on Robotics
Applied Artificial Intelligence on Robotics
Vision-Language-Action model
Control of Robots Based on Speech Teaching Command
Nvidia Jetson Nano, Jet Racer, Jet Racer Pro
Spot (Boston Dynamics)
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