Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
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Updated
May 23, 2024 - Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Multi-Page Generative AI Application and Tools
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
App to compare mercadolibre products, with microservices architecture, Spring cloud and integration with Vertex AI from Google cloud.
A NodeJS RAG framework to easily work with LLMs and embeddings
#SON-05 - An AI image generator site made using Imagen, Vertex AI and Google Cloud.
Document AI Toolbox is an SDK for Python that provides utility functions for managing, manipulating, and extracting information from the document response. It creates a "wrapped" document object from JSON files in Cloud Storage, local JSON files, or output directly from the Document AI API.
Use the universal VDF format for vector datasets to easily export and import data from all vector databases
Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
Google Build for AI Hackathon 2024
A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.
An example Dataform project to load and transform the publicly available dataset from H&M Group into a format which could be imported into Discovery AI for Retail or Vertex AI Search and Conversation, , allowing you to train a retail recommendations model.
Sample code and notes for my GCP courses on LinkedIn Learning
Go module for fetching embeddings from embeddings providers
Build MLOps Pipelines in Minutes
Software designed to summarise the content of Youtube video within few seconds
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