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agentllms

agents-knowledgebases-aws

amazon-bedrock-samples

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

amazon-bedrockmodelanalyzer

This is sample code demonstrating the use of Amazon Bedrock and Generative AI to implement a long document summarization use case. The application is constructed with a simple streamlit frontend where users can upload large documents and get them summarized.

amazon-sagemaker-generativeai

Repository for training and deploying Generative AI models, including text-text, text-to-image generation and prompt engineering playground using SageMaker Studio.

amazon-sagemaker-llama2-response-streaming-recipes

Amazon SageMaker Llama 2 Inference via Response Streaming

awsbedrockgenerativeai

awscodepipelinetest

A node.js demo application

awstestpipeline

Guess the name of a child or pet to be named.

bedrockagent

LLM-powered document chat using Amazon Bedrock and AWS Serverless

bedrocktemplate

This repo serves as a template for building generativeAI applications

chimellm_mvp

Prototype 1.0

cy2550

cybersecurity2550

devicellm_amazon

eulerx

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

foundation-model-benchmarking-tool

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

llama3

The official Meta Llama 3 GitHub site

llava1.5

mlops-pipeline-prestodb

An end-to-end MLOps pipeline that reads data from PrestoDB to train an ML model and deploy on SageMaker for batch and realtime inference.

project2

raglangchainbot

experimenting with genAI

sagemaker-ml-projects

All about langchain, generative AI, LLMs here!