Gemini for Google Cloud 使用的 Gemini 大型语言模型 (LLM)，除了使用训练 Gemini 基础模型的数据集之外，还基于包含公开代码、 Google Cloud专用资料以及其他相关技术信息的数据集进行训练。模型经过训练，以使 Gemini for Google Cloud回答尽可能对 Google Cloud 用户有用。
Gemini for Google Cloud 不会使用您的提示或生成的回答来训练或微调我们的底层模型。向 Gemini for Google Cloud 模型发送的任何数据都将严格用于提供对请求的回答，除非您指示，否则不会存储。没有任何控件可用于过滤或阻止向 Gemini for Google Cloud发送特定信息。
Gemini for Google Cloud 会尽可能在有可用容量的区域内处理请求。如需详细了解 Gemini forGoogle Cloud的服务位置，请参阅 Gemini for Google Cloud 位置。
Gemini for Google Cloud 会注明信息来源的情况和方式
与某些其他独立的 LLM 体验一样，Gemini for Google Cloud LLM 旨在生成原创内容，而不是长篇大论地复制现有内容。我们对自己的系统进行了精心设计，以尽量避免发生这种情况，而且我们将继续改进这些系统的运作方式。
如果 Gemini for Google Cloud 直接从网页上引用大段内容，则会注明引用的网页。如果回答包含网址，Gemini forGoogle Cloud 可让用户查看每个网址的来源；在某些情况下，用户还可以点击网址，直达相关来源页面。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-22。"],[[["\u003cp\u003eGemini for Google Cloud models are trained on publicly available code, Google Cloud-specific content, and other relevant technical data to provide responses that are highly useful for Google Cloud users.\u003c/p\u003e\n"],["\u003cp\u003eGemini for Google Cloud does not use user prompts or generated responses for training or fine-tuning its underlying models, and any data sent to it is used solely to serve a response and not stored unless directed.\u003c/p\u003e\n"],["\u003cp\u003eWhen Gemini for Google Cloud quotes directly from a webpage or code source, it will provide a citation to that source, including links where applicable, to increase transparency and user understanding of the sources.\u003c/p\u003e\n"],["\u003cp\u003eGoogle Cloud offers generative AI indemnification for Gemini for Google Cloud, assuming responsibility for potential legal risks if a user faces a copyright challenge after using content generated by the service.\u003c/p\u003e\n"],["\u003cp\u003eGemini Code Assist, a specific product within Gemini for Google Cloud, uses contextual information from files within your IDE and can be configured to avoid suggesting code that matches cited sources, while also offering code customization based on your organization's private codebase.\u003c/p\u003e\n"]]],[],null,["# How Gemini for Google Cloud works\n\nThe Gemini large language models (LLMs) that are used by Gemini for Google Cloud are trained on datasets of publicly available code, Google Cloud-specific material, and other relevant technical information in addition to the datasets used to train the Gemini [foundation models](https://storage.googleapis.com/deepmind-media/gemini/gemini_1_report.pdf). Models are trained so that Gemini for Google Cloud responses are as useful to Google Cloud users as possible.\n\n\u003cbr /\u003e\n\nAdditionally, Gemini in the Google Cloud console includes basic user\ncontextual information (project ID, product area, page title, and organization\nID) when giving responses. Google Cloud CLI (gcloud CLI) commands and\nother code may incorporate user context directly into the generated code\nsnippet. Gemini doesn't persist contextual information.\n\nGemini for Google Cloud doesn't use your prompts or\ngenerated responses for training or fine-tuning our underlying models. Any data\nsent to the Gemini for Google Cloud models is used strictly\nfor serving a response to the request, and unless instructed by you, isn't\nstored. There are no controls available to filter or block certain information\nfrom being sent to Gemini for Google Cloud.\n\nGemini for Google Cloud serves requests as close to the\nuser as possible where\ncapacity is available. For more information on where Gemini for\nGoogle Cloud\nserves from, see\n[Gemini for Google Cloud locations](/gemini/docs/locations).\n\nHow and when Gemini for Google Cloud cites sources\n--------------------------------------------------\n\nGemini for Google Cloud LLMs, like some other standalone\nLLM experiences, are intended to generate original content and not replicate\nexisting content at length. We've designed our systems to limit the chances of\nthis occurring, and we continue to improve how these systems function.\n\nIf Gemini for Google Cloud directly quotes at length from a\nweb page, it cites that page. For answers with URLs, Gemini for\nGoogle Cloud lets users see and, in some cases, click to navigate directly\nto the source page.\n\nWhen generating code or offering code completion, Gemini for\nGoogle Cloud provides citation information when it directly quotes at\nlength from another source, such as existing open source code. In the case of\ncitations to code repositories, the citation might also reference an applicable\nopen source license.\n\nHow Gemini for Google Cloud helps protect you with generative AI indemnification\n--------------------------------------------------------------------------------\n\nGemini for Google Cloud is covered as a\n[Generative AI Indemnified Service](https://cloud.google.com/terms/generative-ai-indemnified-services).\n\nIf you are challenged on copyright grounds after using content generated by\nGemini for Google Cloud, we assume certain responsibility\nfor the potential legal risks involved.\n\nFor full details about the indemnity, see our\n[Service Specific Terms](/terms/service-terms), or read our\n[blog post](https://cloud.google.com/blog/products/ai-machine-learning/protecting-customers-with-generative-ai-indemnification)\non this issue.\n\nGemini for Google Cloud products\n--------------------------------\n\nThe following sections provide additional details for specific\nGemini for Google Cloud products.\n\n### Gemini Code Assist\n\nTo allow for better code generation in IDEs,\n[Gemini Code Assist](/gemini/docs/codeassist/overview)\ngathers contextual information from the file that you're actively using in your\nIDE as well as other open and relevant local files in your project.\n\nWhen working with Gemini Code Assist in your IDE,\nGemini lists your project files (the context sources) that were\nused as reference to generate responses to your prompts. Context sources are\nshown every time you use Gemini chat.\n\nYou can prevent Gemini Code Assist from suggesting code that\nmatches cited sources by adjusting settings in your IDE\n([VS Code](/gemini/docs/codeassist/write-code-gemini#disable_code_suggestions_that_match_cited_sources),\n[Cloud Shell Editor](/code/docs/shell/write-code-gemini#disable_code_suggestions_that_match_cited_sources),\nand\n[Cloud Workstations](/workstations/docs/write-code-gemini#disable_code_suggestions_that_match_cited_sources)).\n\n[Code customization](/gemini/docs/codeassist/code-customization-overview) lets\nyou get code suggestions based on your organization's private codebase directly\nfrom Gemini Code Assist. To learn more about code customization,\nand how we provide security when accessing and storing your private code, see\nthe [Gemini Code Assist overview](/gemini/docs/codeassist/code-customization-overview).\nTo configure and use code customization, see\n[Configure and use Gemini Code Assist code customization](/gemini/docs/codeassist/code-customization).\n\nFor more information about Gemini Code Assist security controls,\nsee [Security, privacy, and compliance for Gemini Code Assist on\nGoogle Cloud](/gemini/docs/codeassist/security-privacy-compliance)."]]
