title: Gemini: A Family of Highly Capable Multimodal Models
summary: This report introduces a new family of multimodal models, Gemini, that
  exhibit remarkable capabilities across image, audio, video, and text
  understanding. The Gemini family consists of Ultra, Pro, and Nano sizes,
  suitable for applications ranging from complex reasoning tasks to on-device
  memory-constrained use-cases. Evaluation on a broad range of benchmarks shows
  that our most-capable Gemini Ultra model advances the state of the art in 30 of
  32 of these benchmarks - notably being the first model to achieve human-expert
  performance on the well-studied exam benchmark MMLU, and improving the state of
  the art in every one of the 20 multimodal benchmarks we examined. We believe
  that the new capabilities of Gemini models in cross-modal reasoning and
  language understanding will enable a wide variety of use cases and we discuss
  our approach toward deploying them responsibly to users.
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paper_authors.name: Gemini Team
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paper_authors.name: Rohan Anil
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paper_authors.name: Yonghui Wu
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paper_title: Gemini: A Family of Highly Capable Multimodal Models
paper_summary: This report introduces a new family of multimodal models, Gemini, that
  exhibit remarkable capabilities across image, audio, video, and text
  understanding. The Gemini family consists of Ultra, Pro, and Nano sizes,
  suitable for applications ranging from complex reasoning tasks to on-device
  memory-constrained use-cases. Evaluation on a broad range of benchmarks shows
  that our most-capable Gemini Ultra model advances the state of the art in 30 of
  32 of these benchmarks - notably being the first model to achieve human-expert
  performance on the well-studied exam benchmark MMLU, and improving the state of
  the art in every one of the 20 multimodal benchmarks we examined. We believe
  that the new capabilities of Gemini models in cross-modal reasoning and
  language understanding will enable a wide variety of use cases and we discuss
  our approach toward deploying them responsibly to users.
paper_ai_summary: Gemini, a family of multimodal models, achieves state-of-the-art performance across various benchmarks, including human-expert performance on MMLU, through advanced cross-modal reasoning and language understanding.
paper_ai_keywords: multimodal models cross-modal reasoning language understanding MMLU