Articles tagged "オープンソースAI"

Comprehensive comparison of the top 10 local LLMs as of April 2026. Covers SWE-bench scores, Japanese language performance, VRAM requirements, Ollama commands, and licensing for Gemma 4, Llama 4, Qwen 3.5, GLM-5.1, Kimi K2.5, MiniMax M2.5, and more.

Rakuten AI 3.0, born from the GENIAC project led by METI and NEDO. Featuring a 700-billion-parameter MoE architecture and achieving an 8.88 score on the Japanese MT-Bench. Released under Apache 2.0 license, this article examines the strategic importance of domestic LLMs in Japan's AI industrial policy and the significance of data sovereignty.