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Amazon Web Services
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Unified workbench for building and debugging AI Agents
Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS.
A standard format for tracing AI-generated code.
Research prototype demonstrating parallel multi-agent LLM coordination via CRDTs
Here is a way to self host the Deep Seek OCR model in AWS without Bedrock. This allows for you to run OCR jobs at the scale you need without the limits of token costs.
Kiro is an agentic IDE that works alongside you from prototype to production.
A set of tools that gives agents powerful capabilities.
A model-driven approach to building AI agents in just a few lines of code.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Amazon OpenSearch Serverless module available on the Terraform registry.
Samples using AWS Terraform modules to accelerate your Infrastructure-as-Code deployments for generative AI workloads.
Amazon Bedrock module for generative AI applications available on the Terraform registry.
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Rapidly build modern applications with advanced configuration management
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
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