AI BriefingK-EXAONE by LG AI Research
·2026.07.16 09:00
Key point
LG AI Research has developed K-EXAONE, a large-scale AI model that maximizes both efficiency and performance.
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Details
LG AI Research unveiled K-EXAONE, a large-scale AI model developed with proprietary technology to secure national-level AI competitiveness. This model focuses on reducing training and inference costs while achieving global-level performance.
Key technical features are as follows:
- Mixture-of-Experts (MoE) architecture: By activating only 9 out of 128 experts, the design maximizes resource efficiency, holding a total of 236 billion parameters while using only about 23 billion parameters during actual operation.
- Multi-Token Prediction (MTP): Moving away from the conventional single-token prediction approach, it predicts multiple subsequent tokens simultaneously, achieving approximately 1.5x faster inference speed compared to existing models.
- Efficient Tokenizer: The vocabulary size was expanded to 150,000, and the SuperBPE strategy was introduced to merge frequent word combinations into one. This improved byte efficiency per token by approximately 30% compared to the existing EXAONE.
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