vertex-ai-samples

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Google Cloud Vertex AI 的官方示例合集,提供 Notebook、代码和示例应用,演示如何开发、训练和管理机器学习与生成式 AI 工作流。

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

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怎么上手

由 README 提炼,执行前请确认
需先拥有 Google Cloud 项目并按官方文档配置开发环境:https://cloud.google.com/vertex-ai/docs/start/cloud-environment
硬件要求按 README 说明

README 未说明本地硬件要求,示例运行在 Google Cloud Vertex AI、Colab 或 Workbench 等云端环境

下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

由 README 自动翻译提炼

Google 官方 Vertex AI 示例仓库,用 Notebook 和代码演示如何在 GCP 上开发和部署机器学习与生成式 AI 工作流

Google Cloud Vertex AI 的官方示例合集,提供 Notebook、代码和示例应用,演示如何开发、训练和管理机器学习与生成式 AI 工作流。

核心能力

  • 按服务分类的官方 Notebook,覆盖 AutoML、自定义训练、预测等
  • 提供社区贡献的 Model Garden 示例,含 Gemini、Gemma、Llama 3、Claude 3
  • 内置 skills 目录,为 AI Agent 提供部署、推理、微调的操作指引
  • 支持在 Colab、Colab Enterprise、Vertex AI Workbench 中一键打开运行
  • 含 Pipelines、Feature Store、Model Registry、Explainable AI 等工具示例

容易踩的坑

必须先有 Google Cloud 项目并完成环境配置,否则 Notebook 无法运行;更多生成式 AI Notebook 在另一个 generative-ai 仓库中,不在此仓库;仓库代码仅供演示,非官方支持产品

内容由模型根据 README 生成,可能不完整或不准确,以官方文档为准。看原文 README

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    README 原文

    未翻译

    Google Cloud Google Cloud Vertex AI Samples

    This repository contains notebooks, code samples, sample apps, skills, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

    Overview

    Vertex AI is a fully-managed, unified AI development platform for building and using generative AI. This repository is designed to help you get started with Vertex AI. Whether you're new to Vertex AI or an experienced ML practitioner, you'll find valuable resources here.

    ⚠️ For more Vertex AI Generative AI notebook samples, please visit the Vertex AI Generative AI GitHub repository.

    Explore, learn and contribute

    You can explore, learn, and contribute to this repository to unleash the full potential of machine learning on Vertex AI!

    Explore and learn

    Explore this repository, follow the links in the header section of each of the notebooks to -

    Contribute

    See the Contributing Guide.

    Get started

    To get started using Vertex AI, you must have a Google Cloud project.

    Repository structure

    ├── notebooks
    │   ├── official - Notebooks demonstrating use of each Vertex AI service
    │   │   ├── automl
    │   │   ├── custom
    │   │   ├── ...
    │   ├── community - Notebooks contributed by the community
    │   │   ├── model_garden
    │   │   ├── ...
    ├── community-content - Sample code and tutorials contributed by the community
    ├── docs - Deep-dive documentation and advanced setup guides
    └── skills - Suite of AI Agent "Skills" for Vertex AI
        ├── README.md               # Developer guide for Vertex AI skills
        ├── vertex-ai/              # Primary router for Vertex AI tasks
        │   └── SKILL.md            # Entry point that routes across capabilities
        ├── genai-sdk/              # Gemini API usage with Gen AI SDK
        │   └── SKILL.md            # Guides for Python, JS/TS, Go, Java, C#
        ├── vertex-deploy/          # Deploying models to Endpoints
        │   └── SKILL.md            # Commands for open models & custom weights
        ├── vertex-inference/       # Inferencing with GenAI models
        │   └── SKILL.md            # Code samples for Gemini and OpenMaaS
        └── vertex-tuning/          # Secondary router for model fine-tuning
            ├── SKILL.md            # Router for tuning tasks
            ├── gemini/             # Fine-tuning first-party Gemini models
            │   └── SKILL.md
            └── open-model/         # Fine-tuning third-party open models
                └── SKILL.md
    

    Examples

    Get help

    Please use the Issues page to provide feedback or submit a bug report.

    Disclaimer

    This is not an officially supported Google product. The code in this repository is for demonstrative purposes only.

    References