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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Updated
Nov 13, 2026 - Jupyter Notebook
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.
🚀 Bring your own open-weight LLM (Qwen 3, Llama, Gemma, Mistral, DeepSeek) to Vertex AI Model Garden. Serverless fine-tuning + managed vLLM endpoints, zero GKE. One-command Cloud Shell pipeline with before/after eval.
Chasis de LLMOps en Google Cloud para tres apps de IA: toda llamada a Gemini y Claude pasa por Google ADK y se convierte en costo por resultado en BigQuery. Chat en flujo con sesiones persistentes, guardrails como plugins, gates de evals de costo y latencia, control de acceso y CI reutilizable. Terraform.
To associate your repository with the model-garden topic, visit your repo's landing page and select "manage topics."