GoogleCloudPlatform/generative-ai
GitHub: GoogleCloudPlatform/generative-ai
Google Cloud 官方的生成式 AI 示例代码库,提供基于 Vertex AI 使用 Gemini、Imagen、Chirp 等模型的 Jupyter notebook 和示例应用。
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# Google Cloud 上的生成式 AI
本代码库包含 Jupyter notebook、代码示例、示例应用以及其他资源,演示了如何通过 [Vertex AI](https://cloud.google.com/vertex-ai) 使用 [Google Cloud 上的生成式 AI](https://cloud.google.com/ai/generative-ai) 来使用、开发和管理生成式 AI 工作流。
## 使用本代码库
[](https://www.youtube.com/watch?v=xT7WW2SKLfE)
## 相关代码库
- ✨ [Agent Development Kit (ADK) 示例](https://github.com/google/adk-samples):本代码库提供了基于 Agent Development Kit 构建的可直接使用的 Agent,旨在加速您的开发流程。这些 Agent 涵盖了一系列常见的用例和复杂程度,从简单的对话机器人到复杂的多 Agent 工作流。
- [🚀 Agent Starter Pack](https://github.com/GoogleCloudPlatform/agent-starter-pack)
- 专为 Google Cloud 构建的生产级生成式 AI Agent 模板集合。
- 它通过提供整体的生产级解决方案,加速开发进程,解决了构建和部署 Gen AI Agent 时的常见挑战(部署与运维、评估、自定义、可观测性)。
- [Gemini Cookbook](https://github.com/google-gemini/cookbook/)
- [Google Cloud Applied AI Engineering](https://github.com/GoogleCloudPlatform/applied-ai-engineering-samples)
- [Vertex AI GenMedia Creative Studio](https://github.com/GoogleCloudPlatform/vertex-ai-creative-studio) - 体验 Google 的生成式媒体基础模型 + 自定义工作流。
- [MCP Servers for GenMedia](https://goo.gle/vertex-genmedia-mcp) - 为您的 Agent 配备生成式媒体工具。
- [使用 Google Cloud 的营销生成式 AI](https://github.com/GoogleCloudPlatform/genai-for-marketing)
- [开发人员生产力生成式 AI](https://github.com/GoogleCloudPlatform/genai-for-developers)
- Vertex AI Core
- [Vertex AI 示例](https://github.com/GoogleCloudPlatform/vertex-ai-samples)
- [Vertex AI 上的 MLOps](https://github.com/GoogleCloudPlatform/mlops-with-vertex-ai)
- [使用 T5X 和 Vertex AI 开发 NLP 解决方案](https://github.com/GoogleCloudPlatform/t5x-on-vertex-ai)
- [使用 Vertex AI Pipelines 进行 AlphaFold 批量推理](https://github.com/GoogleCloudPlatform/vertex-ai-alphafold-inference-pipeline)
- [使用 Vertex AI 服务 Spark ML 模型](https://github.com/GoogleCloudPlatform/vertex-ai-spark-ml-serving)
- [Vertex AI 生成模型的敏感数据保护 功能](https://github.com/GoogleCloudPlatform/Sensitive-Data-Protection-for-Vertex-AI-PaLM2)
- 对话式 AI
- [Contact Center AI 示例](https://github.com/GoogleCloudPlatform/contact-center-ai-samples)
- [重塑客户体验 360 (Reimagining Customer Experience 360)](https://github.com/GoogleCloudPlatform/dialogflow-ccai-omnichannel)
- Document AI
- [Document AI 示例](https://github.com/GoogleCloudPlatform/document-ai-samples)
- Google Cloud 中的 Gemini
- [Cymbal Superstore](https://github.com/GoogleCloudPlatform/cymbal-superstore)
- 云数据库
- [Gen AI 数据库检索应用](https://github.com/GoogleCloudPlatform/genai-databases-retrieval-app)
- 其他
- [ai-on-gke](https://github.com/GoogleCloudPlatform/ai-on-gke)
- [ai-infra-cluster-provisioning](https://github.com/GoogleCloudPlatform/ai-infra-cluster-provisioning)
- [solutions-genai-llm-workshop](https://github.com/GoogleCloudPlatform/solutions-genai-llm-workshop)
- [terraform-genai-doc-summarization](https://github.com/GoogleCloudPlatform/terraform-genai-doc-summarization)
- [terraform-genai-knowledge-base](https://github.com/GoogleCloudPlatform/terraform-genai-knowledge-base)
- [genai-product-catalog](https://github.com/GoogleCloudPlatform/genai-product-catalog)
- [solutionbuilder-terraform-genai-doc-summarization](https://github.com/GoogleCloudPlatform/solutionbuilder-terraform-genai-doc-summarization)
- [solutions-viai-edge-provisioning-configuration](https://github.com/GoogleCloudPlatform/solutions-viai-edge-provisioning-configuration)
- [mis-ai-accelerator](https://github.com/GoogleCloudPlatform/mis-ai-accelerator)
- [dataflow-opinion-analysis](https://github.com/GoogleCloudPlatform/dataflow-opinion-analysis)
- [genai-beyond-basics](https://github.com/meteatamel/genai-beyond-basics)
- [Gemini by Example](https://geminibyexample.com)
## 获取帮助
请使用 [Issues 页面](https://github.com/GoogleCloudPlatform/generative-ai/issues) 提供建议、反馈或提交 Bug 报告。
## 免责声明
本代码库本身并非 Google 官方支持的产品。本代码库中的代码仅用于演示目的。
| Description | |
|---|---|
gemini/
|
Discover Gemini through starter notebooks, use cases, function calling, sample apps, and more. |
search/
|
Use this folder if you're interested in using Vertex AI Search, a Google-managed solution to help you rapidly build search engines for websites and across enterprise data. (Formerly known as Enterprise Search on Generative AI App Builder). |
rag-grounding/
|
Use this folder for information on Retrieval Augmented Generation (RAG) and Grounding with Vertex AI. This is an index of notebooks and samples across other directories focused on this topic. |
vision/
|
Use this folder if you're interested in building your own solutions from scratch using features from Imagen on Vertex AI (Vertex AI Imagen API).
These are the features that Imagen on Vertex AI offers:
|
audio/
|
Use this folder if you're interested in building your own solutions from scratch using features from Chirp, a version of Google's Universal Speech Model (USM) on Vertex AI (Vertex AI Chirp API). |
setup-env/
|
Instructions on how to set up Google Cloud, the Vertex AI Python SDK, and notebook environments on Google Colab and Vertex AI Workbench. |
RESOURCES.md
|
Learning resources (e.g. blogs, YouTube playlists) about Generative AI on Google Cloud. |
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