Sample code and notebooks for Generative AI on Google Cloud, including Gemini
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
Ship RAG based LLM web apps in seconds.
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Sample code and notes for my GCP courses on LinkedIn Learning
This repository provides a deployment guide showcasing the application of Google Cloud's generative AI for marketing scenarios. It offers detailed, step-by-step guidance for setting up and utilizing the generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content.
This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
Optimise Shopping Ads feeds with Generative AI
Build MLOps Pipelines in Minutes
Transformers 3rd Edition
Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
🌴 Drop-in replacement REST API for Vertex AI (PaLM 2, Codey, Gemini) that is compatible with the OpenAI API specifications
A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.
Cloud Pipelines Editor is a web app that allows the users to build and run Machine Learning pipelines without having to set up development environment.
AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.
Add a description, image, and links to the vertex-ai topic page so that developers can more easily learn about it.
To associate your repository with the vertex-ai topic, visit your repo's landing page and select "manage topics."