Kakao Presents Training Optimization and Model Compression Research at Language Modeling Conference COLM 2026
Key points
- Kakao presents research results at COLM 2026
- A technique that raises MoE model training efficiency
- Compression that improves performance while reducing model size
Kakao said on Oct. 8 that it presented research results that reduce AI model training costs and size at COLM 2026, an international conference on language modeling. COLM is a conference launched in 2024 that deals with large language models (LLMs).
Kakao introduced a technique that raises the training efficiency of MoE models and a compression technique that improves performance while reducing model size. Techworld News reported that it presented at the main conference and at the tokenization workshop TokShop, respectively.