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

⚡ Edgen: Local, private GenAI server alternative to OpenAI. No GPU required. Run AI models locally: LLMs (Llama2, Mistral, Mixtral...), Speech-to-text (whisper) and many others.

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.

Sample code and notes for my GCP courses on LinkedIn Learning

Framework to bring LLM applications to production

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

Transformers 3rd Edition

Optimise Shopping feeds with Generative AI

Build MLOps Pipelines in Minutes

Use the universal VDF format for vector datasets to easily export and import data from all vector databases

A NodeJS RAG framework to easily work with LLMs and embeddings

Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products

A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.

🌴 Drop-in replacement REST API for Vertex AI (PaLM 2, Codey, Gemini) that is compatible with the OpenAI API specifications

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.