Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
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Updated
Jul 16, 2024 - Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
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.
Hands on Lab for Neo4j and Vertex AI
Kedro Plugin to support running workflows on GCP Vertex AI Pipelines
Create a Chatbot app on your own data with GCP tools
Mini-Bard client for Angular using Gemini Pro via API key from Google AI Studio
Search for similar images using NeonDB and Vertex AI.
Use Gemini Pro LLM via VertexAI to create an engaging quiz game incorporating TMDB API data
Collection of OSS models that are containerized into a serving container
Customized bot with langchain and gpt4
Using Azure Open AI and Google Cloud Vertex AI Large Language Model to score programming code.
Prompt Engineering Tooling for OpenAI (chatgpt) or VertexAI (google cloud) APIs . With more APIs to follow
AfterSchool is an educational RAG based chatbot interface built with vertex ai agent builder, react and flask that provides a verbose guide to understanding things that are not usually taught in school such as social skills, time management, sustainable living, maintaining mental/physical health etc
Building AI-Powered Chatbots on Cloud Run: A Step-by-Step Guide Using Google’s PaLM API and Cloud Run
HTTP proxy for accessing Vertex AI with the REST API interface of ollama. Optionally forwarding requests for other models to ollama. Written in Go.
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