Gemini：谷歌最强AI模型，超越GPT-4的下一代人工智能

GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 是什么？

GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 译为“双子座”，约出生于5月22日至6月21日的人。GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 由 Google DeepMind 开发，号称谷歌最大、能力最强的人工智能模型。同时也是最灵活的模型——能够在从数据中心到移动设备的所有设备上高效运行。GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 最先进的能力将显著增强开发人员和企业客户利用人工智能构建和扩展的方式。

GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. translates to "GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video.," referring to individuals born approximately between May 22 and June 21. Developed by Google DeepMind, GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. is touted as Google's largest and most capable artificial intelligence model. It is also the most flexible model—capable of running efficiently on everything from data centers to mobile devices. GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video.'s state-of-the-art capabilities will significantly enhance how developers and enterprise customers build and scale with AI.

GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 版本

目前 GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 发布了第一个版本——GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 1.0，包含三个不同大小的模型：

• Gemini UltraThe largest flagship model in the Gemini series, designed for maximum performance.：规模最大、能力最强，用于处理高度复杂的任务 (Largest and most capable, designed for highly complex tasks)
• Gemini ProA mid-sized model in the Gemini series, balancing performance and efficiency.：在各种任务上扩展的最佳模型 (The best model for scaling across a wide range of tasks)
• Gemini NanoA lightweight version of the Gemini model designed for resource-constrained environments.：用于端侧（on-device）任务的最高效模型 (The most efficient model for on-device tasks)

开发者或者企业客户可以根据自己的使用场景选择最合适的模型。

Currently, GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. has released its first version—GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 1.0—which includes three different-sized models:

• Gemini UltraThe largest flagship model in the Gemini series, designed for maximum performance.: The largest and most capable, designed for highly complex tasks.
• Gemini ProA mid-sized model in the Gemini series, balancing performance and efficiency.: The best model for scaling across a wide range of tasks.
• Gemini NanoA lightweight version of the Gemini model designed for resource-constrained environments.: The most efficient model for on-device tasks.

Developers or enterprise customers can choose the most suitable model based on their specific use cases.

GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 测评

以下提供了文本和多模态两个方面，GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 和 GPT-4 在各类任务上的详细对比结果。由对比结果可以看出，GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 基本在所有任务上都略胜于 GPT-4（最终效果还需要以自己测试为准）。

The following provides a detailed comparison of GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. and GPT-4 across various tasks in both text and multimodal aspects. Based on the comparison results, GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. slightly outperforms GPT-4 in almost all tasks (final performance should be verified through your own testing).

测评的文本任务包含 4 大类，分别为：

1. General (通用)
2. Reasoning (推理)
3. Math (数学)
4. Code (代码)

The evaluated text tasks include four major categories:

1. General
2. Reasoning
3. Math
4. Code

测评的多模态任务同时处理多种类型数据（如图片、视频、音频）的人工智能任务。包含 3 大类，分别为：

1. Image (图片)
2. Video (视频)
3. Audio (音频)

The evaluated multimodal tasks include three major categories:

1. Image
2. Video
3. Audio

为什么以“双子座”命名？

答案不得而知。也许 GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. 和‘GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video.’之间有一些不同之处吧。

The reason remains unknown. Perhaps there are some distinctions between GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video. and 'GeminiA family of multimodal large language models developed by Google DeepMind that can process text, code, images, audio, and video.'.