A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Application implementation with business use cases for safely utilizing generative AI in business operations

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.

Become a Certified Unicorn Developer and Participant in the API Token Economy

Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.

This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation.

MLOps Pipeline Using SageMaker & CDK, where models are from SageMaker built-in algorithms.

This repository contains the AWS CDK code that captures and stores system metadata of data solutions built on Amazon SageMaker at regular interval.

React/Next.js app to convert SageMaker annotation formats.

Verta ai ModelDB on AWS Cloud with integration into Amazon SageMaker for ML training data versioning and experiment tracking

NextJS Dashboard App to serve medical data collected by ETL, to explore with sagemaker, to annotate labels for MLOps, and to assess AI performance.