These models represent a true full-stack effort. Beyond datasets, we optimized tokenization, model architecture, execution kernels, scheduling, and inference systems to make deployment efficient across a wide range of hardware, from flagship GPUs to personal devices like laptops. Both models are already in production. Sarvam 30B powers Samvaad, our conversational agent platform. Sarvam 105B powers Indus, our AI assistant built for complex reasoning and agentic workflows.
Последние новости。关于这个话题，新收录的资料提供了深入分析
Verify runtime:。新收录的资料是该领域的重要参考
配置方面，Nothing Phone (4a) 处处要比 Pro 版略低一档：。新收录的资料对此有专业解读