Samples on how to work with Amazon Bedrock Global cross-Region inference

This Guidance demonstrates how organizations can implement secure enterprise authentication for Amazon Bedrock using industry-standard protocols and AWS services

A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.

Full-stack framework for building Multi-Agent Systems with memory, knowledge and reasoning.

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

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

Mistral on AWS examples for Bedrock & SageMaker

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

Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Deploy Audiocraft Musicgen on Amazon SageMaker using SageMaker Endpoints for Async Inference.

Amazon SageMaker Llama 2 Inference via Response Streaming

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications