aws-solutions-library-samples
Popular repositories Loading
-
guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker
guidance-for-training-an-aws-deepracer-model-using-amazon-sagemaker PublicDeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
-
video-on-demand-on-aws
video-on-demand-on-aws PublicAn automated reference implementation leveraging AWS Step Functions and AWS Media Services to deploy a scalable fault tolerant Video on demand workflow
-
cloud-intelligence-dashboards-framework
cloud-intelligence-dashboards-framework PublicCommand Line Interface tool for Cloud Intelligence Dashboards deployment
-
data-lakes-on-aws
data-lakes-on-aws PublicEnterprise-grade, production-hardened, serverless data lake on AWS
-
fraud-detection-using-machine-learning
fraud-detection-using-machine-learning PublicSetup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
-
live-streaming-on-aws
live-streaming-on-aws PublicThe live stream solution is a reference deployment that demonstrates how to deliver highly available live streaming video through an integrated workflow between Elemental Cloud and AWS.
Repositories
- guidance-for-medialake-on-aws Public
This Guidance demonstrates how to deploy a media lake, which addresses media management challenges for organizations of all sizes using AWS services and partner integrations.
aws-solutions-library-samples/guidance-for-medialake-on-aws’s past year of commit activity - guidance-for-generative-ai-shopping-assistant-using-agents-for-amazon-bedrock Public
This Guidance demonstrates how to create a compelling, AI-driven shopping experience using Amazon Bedrock Agents.
aws-solutions-library-samples/guidance-for-generative-ai-shopping-assistant-using-agents-for-amazon-bedrock’s past year of commit activity - guidance-for-securing-sensitive-data-in-rag-applications-using-amazon-bedrock Public
This AWS Guidance provides a comprehensive security framework for Retrieval Augmented Generation (RAG) applications handling sensitive data. It addresses security challenges in generative AI by implementing two key architecture patterns: data redaction and role-based access control
aws-solutions-library-samples/guidance-for-securing-sensitive-data-in-rag-applications-using-amazon-bedrock’s past year of commit activity - guidance-for-live-chat-content-moderation-with-generative-ai-on-aws Public
This Guidance demonstrates how organizations can implement generative artificial intelligence (AI) services for automated message screening in live chat environments.
aws-solutions-library-samples/guidance-for-live-chat-content-moderation-with-generative-ai-on-aws’s past year of commit activity - guidance-for-low-cost-semantic-search-on-aws Public
This project demonstrates how to build a cost-effective Retrieval-Augmented Generation (RAG) solution using Amazon DynamoDB as a vector store for small use cases, enabling small businesses to implement AI personalization without the high costs typically associated with specialized vector databases.
aws-solutions-library-samples/guidance-for-low-cost-semantic-search-on-aws’s past year of commit activity - guidance-for-ivr-migration-to-amazon-connect-using-generative-ai-on-aws Public
This Guidance demonstrates a streamlined approach to modernizing contact centers by migrating legacy interactive voice response (IVR) and chatbot systems to Amazon Lex and Amazon Connect.
aws-solutions-library-samples/guidance-for-ivr-migration-to-amazon-connect-using-generative-ai-on-aws’s past year of commit activity - guidance-for-connected-mobility-on-aws Public
This Guidance demonstrates how to develop and deploy modular services for connected mobility solutions that enable vehicles to receive appropriate configurations throughout their lifecycle.
aws-solutions-library-samples/guidance-for-connected-mobility-on-aws’s past year of commit activity - guidance-for-advertising-agents-on-aws Public
This guidance demonstrates how to deploy a comprehensive agentic application for advertising workflows using Amazon Bedrock AgentCore. The solution showcases advanced multi-agent collaboration across the entire advertising value chain - from strategic media planning and audience targeting to real-time bid optimization and publisher revenue manageme
aws-solutions-library-samples/guidance-for-advertising-agents-on-aws’s past year of commit activity - guidance-for-deploying-an-aws-deepracer-chatbot Public
This Guidance illustrates how to deploy and use the AWS DeepRacer Chatbot, an intelligent virtual assistant powered by multimodal generative AI and domain adaptation techniques.
aws-solutions-library-samples/guidance-for-deploying-an-aws-deepracer-chatbot’s past year of commit activity - cloud-intelligence-dashboards-framework Public
Command Line Interface tool for Cloud Intelligence Dashboards deployment
aws-solutions-library-samples/cloud-intelligence-dashboards-framework’s past year of commit activity
Most used topics
Loading…