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A tool for customers to evaluate their AWS service configurations based on AWS and community best practices and receive recommendations on potential improvements.
Model components of the Llama Stack APIs
Open Source framework for voice and multimodal conversational AI
"Sandbox Accounts for Events" allows to provide multiple, temporary AWS accounts to a number of authenticated users simultaneously via a browser-based GUI.
This repository contains the code and infrastructure as code for a Generative AI-powered Request for Proposal (RFP) Assistant leveraging Amazon Bedrock and AWS Cloud Development Kit (CDK).
AWS Nitro Enclaves Vault
CDK stack for self-hosting Langfuse on AWS
Hosting Langfuse on Amazon ECS with Fargate using CDK Python
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
Home to all tools related to Amplify's code-first DX (Gen 2) for building fullstack apps on AWS
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
This repository provides sample code to help customers easily connect to AWS IoT Core and learn more about how the AWS IoT Sensors mobile app publishes sensor data from mobile phones to AWS.
This Guidance demonstrates how to build an internal Software-as-a-Service (SaaS) platform that provides access to foundation models, like those available through Amazon Bedrock, to different busine…
OpenAI-Compatible RESTful APIs for Amazon Bedrock
LLMPerf is a library for validating and benchmarking LLMs
Source repo of Building SaaS applications on Amazon EKS using GitOps workshop
aws-solutions-library-samples / guidance-for-natural-language-queries-of-relational-databases-on-aws
Demonstration of Natural Language Query (NLQ) of an Amazon RDS for PostgreSQL database, using SageMaker JumpStart, Amazon Bedrock, LangChain, Streamlit, and Chroma.
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
SaaS Builder Toolkit for AWS is a developer toolkit to implement SaaS best practices and increase developer velocity.