AWS Samples
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- Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
- This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
- A hardware-agnostic (NVIDIA's GPUs and AWS Inferentia accelerators) deployment of computer-vision models (e.g., YOLO, ViT), generate text and text-to-image (e.g., Llama3 and Stable Diffusion ) on EKS controlled by K8s ingress in routing-time and Karpenter in scheduling-time that is scaled by KEDA.
- Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
- This repository contains the reference architecture implementation for the AWS Serverless Developer Experience workshop in TypeScript
- Welcome 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).
- Python labs demonstrating various techniques for reducing hallucinations in apps using large language models
- Amazon ECR replication for public container images
- A sample rss aggregator application demonstrating the use of Cohere Embeddings
- Provides sample files and code snippets for helping partners build integrations between CRM and AWS Partner Central.