Latest news
- Customer case
asKMI by KMI & Dana-A DataThe health checkup result chatbot service ‘asMKI,’ developed by KMI and Dana-A Data, is powered by HyperCLOVA X technology.
- Customer case
Science Donga AiR by Dong-A ScienceHyperCLOVA X technology has been utilized in ‘Science Donga AiR’, the artificial intelligence chatbot service of Dong-A Science.
- NAVER case
Character Chat by NAVER WEBTOONHyperCLOVA X is applied to ‘AI Character Chat’, which allows users to have daily conversation and role-playing with popular characters of NAVER WEBTOON.
- Customer case
Jasoseol.com by Anchoreer Co., Ltd.HyperCLOVA X’s generative AI technology was applied to the “AI master resume” feature, which creates a master draft based on a candidate’s resume experience and job-specific strengths.
HyperCLOVA X,
the world’s first Korean-centric AI
HyperCLOVA X excels at understanding and inference, especially in Korea’s unique culture, history, language, and social norms. It is one of the world’s leading LLMs for Korea-specific knowledge.
Understanding of Korean culture and society
80% better than GPT-4
KorNAT - Common Knowledge Alignment (CKA)
CLOVA Studio is with you
on every step of your AI journey
CLOVA Studio is an LLMOps platform where you can manage the lifecycle of large language models (LLMs) essential to building your AI. CLOVA Studio can help teams design, develop, deploy, and operate LLMs from one place.
Explore LLMs through prompt engineering and review whether they can be used to realize your business potential.
Train and fine-tune AI models with domain-specific data to meet your needs.
Design APIs and integrate model outputs into AI systems.
Continuously iterate and improve performance by evaluating models from different angles.
Deploy and manage AI models through continuous monitoring and maintenance.
Paper presentations at top-tier international conferences
We published over 300 papers on AI (as of 2023), which have since been cited more than 36,000 times. For outstanding work in AI technology, our researchers received the best paper award at CHI 2023 and were nominated for best paper at ACL 2023.