Google 宣布发布两款更新的可投入生产的 Gemini 型号:Gemini-1.5-Pro-002 和 Gemini-1.5-Flash-8B-Exp-0924。这些模型专为各种文本、代码和多模式任务的一般性能而设计
Google has announced two new production-ready Gemini models, available for free via Google AI Studio and the Gemini API, and for larger organizations and Google Cloud customers, they are also available on Vertex AI. These models are designed for general performance across a wide range of text, code, and multimodal tasks.
谷歌宣布推出两款新的可投入生产的 Gemini 模型,可通过 Google AI Studio 和 Gemini API 免费使用,对于大型组织和 Google Cloud 客户,它们也可在 Vertex AI 上使用。这些模型专为各种文本、代码和多模式任务的一般性能而设计。
The two models are Gemini-1.5-Pro-002 and Gemini-1.5-Flash-8B-Exp-0924. They are designed for a variety of tasks, including synthesizing information from large PDFs, answering questions about extensive code repositories, and creating content from hour-long videos.
这两个型号是Gemini-1.5-Pro-002和Gemini-1.5-Flash-8B-Exp-0924。它们专为各种任务而设计,包括从大型 PDF 中合成信息、回答有关大量代码存储库的问题以及从长达一小时的视频创建内容。
Some of the key improvements in these models include the ability to generate more concise responses, with default output lengths 5-20% shorter than previous models, making them easier to use and more cost-efficient.
这些模型的一些关键改进包括能够生成更简洁的响应,默认输出长度比以前的模型短 5-20%,使它们更易于使用且更具成本效益。
The models are also available for free via Google AI Studio and the Gemini API, and for larger organizations and Google Cloud customers, they are also available on Vertex AI. Developers can access these models to build a variety of applications, leveraging the 2 million token long context window and multimodal capabilities of Gemini 1.5 Pro.
这些模型还可以通过 Google AI Studio 和 Gemini API 免费获得,对于大型组织和 Google Cloud 客户,它们也可以在 Vertex AI 上获得。开发人员可以访问这些模型来构建各种应用程序,利用 Gemini 1.5 Pro 的 200 万代币长上下文窗口和多模式功能。
Google highlights its focus on building safe and reliable models, with improvements to the model's ability to follow user instructions while balancing safety. The company will continue to offer a suite of safety filters that developers may apply to Google’s models, allowing them to determine the configuration best suited for their use case.
谷歌强调其专注于构建安全可靠的模型,并改进模型遵循用户指令同时平衡安全性的能力。该公司将继续提供一套安全过滤器,开发人员可以将其应用于谷歌的模型,从而使他们能够确定最适合其用例的配置。