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.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Samples to test the Google's generative AI.

Generative Agents: Interactive Simulacra of Human Behavior

Multi-turn chat demo

This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.

Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

Using SageMaker and LoRA to fine-tune the Stable Diffusion model and generate fashion images

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Examples and guides for using the OpenAI API

Distilling Step-By-Step

Numbers every LLM developer should know

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Samples and Examples for Google Recommendations AI

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff …

Repository containing reusable assets for an easier explanation of Product Discovery and a smoother customer adoption

Common solutions and tools developed by Google Cloud's Professional Services team

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events