Note: All numbers here are the result of running benchmarks ourselves and may be lower than other previously shared numbers. Instead of quoting leaderboards, we performed our own benchmarking, so we could understand scaling performance as a function of output token counts for related models. We made our best effort to run fair evaluations and used recommended evaluation platforms with model-specific recommended settings and prompts provided for all third-party models. For Qwen models we use the recommended token counts and also ran evaluations matching our max output token count of 4096. For Phi-4-reasoning-vision-15B, we used our system prompt and chat template but did not do any custom user-prompting or parameter tuning, and we ran all evaluations with temperature=0.0, greedy decoding, and 4096 max output tokens. These numbers are provided for comparison and analysis rather than as leaderboard claims. For maximum transparency and fairness, we will release all our evaluation logs publicly. For more details on our evaluation methodology, please see our technical report (opens in new tab).
Cybercriminals are using AI to attack the cloud faster - and third-party software is the weak link
，更多细节参见whatsapp
“人民健康是现代化的重要指标，必须以系统思维统筹推进，既要抓全局，更要抓重点，紧紧抓住那些惠及面广、牵一发而动全身的工作，集中力量和资源、采取有效措施。”民革中央常委、安徽省委会主委马传喜委员建议，要将健康教育纳入国民教育体系，强化健康体重管理，健全早筛早诊早治体系，强化多病同防同治同管，推动健康中国建设取得决定性进展。
Go to worldnews