AWS Samples
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- Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
- This repo provides Generative AI and AI/ML code samples, blueprints (end-to-end solutions) and proof of concepts oriented to the LATAM market
- A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
- AWS Slurm Cluster for EDA Workloads
- Employee Productivity GenAI Assistant Example is an innovative code sample and architecture pattern designed to enhance writing tasks efficiency using AWS serverless technologies and Amazon Bedrock's generative AI models.
- Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain
- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
- Hands-on labs for Amazon EKS
anthropic-on-aws
Public- This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
- Learn to use available AWS Terraform modules with examples on how to accelerate your Infrastructure-as-Code deployments for generative AI workloads.
AWS-First-GenAI-Journey
PublicWelcome to the AWS First Generative AI Journey repository! This project serves as a comprehensive resource for individuals and organizations looking to explore the transformative capabilities of Generative AI using Amazon Web Services (AWS).