generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Find all generative ai repository documentation easily. This guide shows you where to locate README files within the GoogleCloudPlatform/generative-ai repository for Gemini, Genkit, and Agents.
Cost Implications of Using the generative-ai-gcp Services: A Complete Pricing and Optimization GuideUnderstand generative-ai-gcp costs with our guide. Learn about pay-as-you-go pricing and optimization strategies for Google Cloud AI services. Leverage free trial credits to explore.
How to Monitor and Manage AI Models Deployed via Generative-AI-GCPEffectively monitor and manage generative AI models deployed with generative-ai-gcp. Learn to use vapo_lib.py, GcpEvaluation, and Vertex AI for robust AI model oversight.
How to Deploy a Model on Vertex AI Using the generative-ai Repository ExamplesDeploy a model on Vertex AI using generative-ai examples. Learn to initialize the SDK, upload artifacts, create endpoints, and deploy your model quickly.
Gemini API Examples in Google Cloud: Navigating the generative-ai RepositoryFind Gemini API examples in the GoogleCloudPlatform/generative-ai repository. Explore workshops, gemini, and open-models folders for practical applications.
How to Integrate Google's Generative Models Using the generative-ai-gcp DirectoryIntegrate Google's generative models using the generative-ai-gcp directory. Learn to build prompts, batch process data, and evaluate outputs with Vertex AI API.
Key Components in the generative-ai-gcp Directory for Building AI Solutions on Google CloudExplore the generative-ai-gcp directory to discover Vertex AI SDK helpers, search infra, model serving, and fine-tuning for building AI solutions on Google Cloud.
What Is the generative-ai-gcp Directory? Purpose and Structure ExplainedExplore the generative-ai-gcp directory's purpose: provisioning Google Cloud Platform resources for Generative AI samples. Learn about its IaC modules and deployment automation.
LLM Demos for Multiple Providers in the Google Cloud Generative AI RepositoryExplore LLM demos for OpenAI, Anthropic Claude, and vLLM in Google Cloud's generative AI repository. Find production-ready code examples across multiple directories for seamless integration.
Google Cloud Services Required for the LLM Demos in the generative-ai RepositoryDiscover the essential Google Cloud services like Vertex AI, Cloud Run, and Cloud Storage needed to run LLM demos from the generative-ai repository. Get started today.
How to Run Google Cloud LLM Demos Locally: Vertex AI Search and RAG ExamplesRun Google Cloud LLM demos locally like Vertex AI Search and RAG. Clone the repo, install dependencies, authenticate, and start the server for hands-on generative AI examples.
RAG Examples in the Google Cloud Generative AI Repository: LLM-Demos Directory ExplainedExplore Retrieval Augmented Generation RAG examples within the GoogleCloudPlatform/generative-ai repository. Discover RAG implementations in rag-ops and qa-ops directories.
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