Developing Post-Training Technology to Adapt the Largest Open Foundation Model to Country-Specific Specifications

Sakana AI

Sakana AI developed the Namazu model series by applying post-training techniques to open-weight foundation models to adapt them for Japanese cultural context and safety requirements. The Namazu-DeepSeek-V3.1-Terminus model maintained base model performance on benchmarks like MMLU-Redux and LiveCodeBench while improving neutrality and factual accuracy on politically sensitive topics from 28% to nearly 100% in answering related questions. Sakana launched Sakana Chat, a search-integrated service using Namazu models, following 1,000 beta testers' feedback to make localized AI models broadly accessible to Japanese users.

Why it matters

最大規模のオープン基盤モデルを各国仕様へ適応させる事後学習技術を開発