Code samples used on cloud.google.com

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.

This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

Foundation Model Evaluations Library

A generative AI-powered framework for testing virtual agents.

Hands-on workshop for distributed training on SageMaker

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

🦜🔗 Build context-aware reasoning applications

Workshop content for applying DevOps practices to Machine Learning workloads using Amazon SageMaker

A framework for few-shot evaluation of autoregressive language models.

A set of Jupyter notebooks that describes different phases of an Intelligent Document Processing with AWS AI Services

LlamaIndex is a data framework for your LLM applications

Overview and tutorial of the LangChain Library

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

Notebooks using the Hugging Face libraries 🤗

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

This is a workshop designed for Amazon Bedrock a foundational model service.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. S…

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models

Foundation model benchmarking tool. Run any model on Amazon SageMaker and benchmark for performance across instance type and serving stack options.

Model assisted dataset preparation for Amazon Rekognition Custom Labels.