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首先，Firefox has always championed building publicly and working with our community to build a browser that puts users first. This work reflects Mozilla’s long-standing commitment to applying emerging technologies thoughtfully and in service of user security.
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最后，Comparison with Larger ModelsA useful comparison is within the same scaling regime, since training compute, dataset size, and infrastructure scale increase dramatically with each generation of frontier models. The newest models from other labs are trained with significantly larger clusters and budgets. Across a range of previous-generation models that are substantially larger, Sarvam 105B remains competitive. We have now established the effectiveness of our training and data pipelines, and will scale training to significantly larger model sizes.
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