Ваня Дмитриенко выступит на ГАРАЖ ФЕСТ Игора Драйв в Санкт-Петербурге14:45
下沉市场的受众，将彻底被困在由免费大众渠道分发的 AI 资讯垃圾场中，被无限量生成的同质化内容填喂；而高净值受众，则会通过支付资金或注意力溢价，退守到少数由“精英大V+顶级编辑打造的 AI 工作流”共同维护的稀缺信息源里。。关于这个话题，新收录的资料提供了深入分析
，详情可参考新收录的资料
Sarvam 30B performs strongly across core language modeling tasks, particularly in mathematics, coding, and knowledge benchmarks. It achieves 97.0 on Math500, matching or exceeding several larger models in its class. On coding benchmarks, it scores 92.1 on HumanEval and 92.7 on MBPP, and 70.0 on LiveCodeBench v6, outperforming many similarly sized models on practical coding tasks. On knowledge benchmarks, it scores 85.1 on MMLU and 80.0 on MMLU Pro, remaining competitive with other leading open models.，这一点在新收录的资料中也有详细论述
Add another filter to keep only binaries between literals: