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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-sagemaker-examples

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

autogpt

An experimental open-source attempt to make GPT-4 fully autonomous.

aws-ai-intelligent-document-processing

Intelligent Document Processing with AWS AI Services and generative AI

aws-genai-llm-chatbot

A comprehensive sample to deploy a multi LLM powered chatbot using AWS CDK on AWS

data-science-on-aws

generative-ai-on-aws

Generative AI on AWS

generative-ai-sagemaker-cdk-demo

Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK

generative-models

Generative Models by Stability AI

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

leval

Data and code for L-Eval, a comprehensive long context language models evaluation benchmark

mountpoint-s3

A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.

open-llms

🤖 A list of open LLMs available for commercial use.

pretrain-vision-and-large-language-models-in-python

Pretrain Vision and Large Language Models in Python, Published by Packt

promptsource

Toolkit for creating, sharing and using natural language prompts.