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A new era of intelligence with Gemini 3
Learn, plan, and build with Gemini 3. Available today, you can access Gemini 3 on Vertex AI and Gemini Enterprise.
13 juil.
Learn, plan, and build with Gemini 3. Available today, you can access Gemini 3 on Vertex AI and Gemini Enterprise.
The versatility of large language models (LLMs) led to the creation of diverse benchmarks that thoroughly test a variety of language models' abilities. These benchmarks consist of tens of thousands of examples making evaluation of LLMs very expensive. In this paper, we investigate strategies to reduce the number of evaluations needed to assess the performance of an LLM on several key benchmarks. For example, we show that to accurately estimate the performance of an LLM on MMLU, a popular multiple-choice QA benchmark consisting of 14K examples, it is sufficient to evaluate this LLM on 100 curated examples. We release evaluation tools and tiny versions of popular benchmarks: Open LLM Leaderboard, MMLU, HELM, and AlpacaEval 2.0. Our empirical analysis demonstrates that these tools and tiny benchmarks are sufficient to reliably and efficiently reproduce the original evaluation results.
Enterprise customer experiences are entering a new era. Organizations are moving beyond traditional chatbots toward AI agents that can understand customer intent, reason across enterprise knowledge, and take action across business systems. As these experiences move into production, enterprises need more than powerful models. They need an AI platform that combines frontier research with enterprise security, governance, operational reliability, and the ability to scale globally. Today, Gemini Ente