aws-solutions-library-samples
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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
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cloud-intelligence-dashboards-framework
cloud-intelligence-dashboards-framework PublicCommand Line Interface tool for Cloud Intelligence Dashboards deployment
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data-lakes-on-aws
data-lakes-on-aws PublicEnterprise-grade, production-hardened, serverless data lake on AWS
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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
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guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents
guidance-for-personalized-ecommerce-recommendations-using-amazon-bedrock-agents PublicThis Guidance demonstrates how to implement personalized ecommerce recommendations using Amazon Bedrock Agents.
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guidance-for-multi-provider-generative-ai-gateway-on-aws
guidance-for-multi-provider-generative-ai-gateway-on-aws PublicThis Guidance demonstrates how to streamline access to numerous large language models (LLMs) through a unified, industry-standard API gateway based on OpenAI API standards
Repositories
- guidance-for-ai-driven-robotic-simulation-and-training-on-aws Public
This Guidance demonstrates how to build an AI-assisted robot training and fleet management system using Amazon Bedrock foundation models and AWS Trainium. It helps organizations overcome the complexity of training robots for precise tasks and managing fleets at scale
aws-solutions-library-samples/guidance-for-ai-driven-robotic-simulation-and-training-on-aws’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 - guidance-for-automated-setup-of-aws-transform-for-vmware Public
Automation to help deploy AWS Transform and streamline the setup process by automating the provisioning of required AWS services, network configurations, and security controls.
aws-solutions-library-samples/guidance-for-automated-setup-of-aws-transform-for-vmware’s past year of commit activity - accelerated-intelligent-document-processing-on-aws Public
This Guidance demonstrates a scalable, serverless approach for automated document processing and information extraction using AWS services, such as Amazon Bedrock Data Automation and Amazon Bedrock foundational models. It combines generative AI and optical character recognition (OCR) to process documents at scale.
aws-solutions-library-samples/accelerated-intelligent-document-processing-on-aws’s past year of commit activity - guidance-for-rolling-back-changes-to-datasets-in-amazon-s3 Public
Rollback tool for Amazon S3: Within or across-bucket recovery using S3 Versioning, to a specified point-in-time, at scale
aws-solutions-library-samples/guidance-for-rolling-back-changes-to-datasets-in-amazon-s3’s past year of commit activity - guidance-for-multi-agent-orchestration-agent-squad-on-aws Public
This Guidance demonstrates how to effectively orchestrate multiple specialized AI agents to solve complex customer support challenges through different coordination mechanisms on AWS. Modern customer service environments demand sophisticated handling of multi-step interactions, personalized responses, and seamless access to various data sources.
aws-solutions-library-samples/guidance-for-multi-agent-orchestration-agent-squad-on-aws’s past year of commit activity - guidance-for-multi-agent-employee-virtual-assistant-on-aws Public
This Guidance demonstrates how TeamLink AI, an employee virtual assistant, centralizes access to cross-functional knowledge through a unified, intelligent chat interface. Leveraging advanced language models hosted on Amazon Bedrock.
aws-solutions-library-samples/guidance-for-multi-agent-employee-virtual-assistant-on-aws’s past year of commit activity - guidance-for-advanced-multi-modal-chatbot-including-speech-to-speech-on-aws Public
This GenAI solution enables users to extract insights from diverse data formats (video, audio, PDFs, text) through a unified interface. Using AWS AI services, it processes and indexes content at scale, provides quick summaries, and delivers contextualized answers with direct links to source materials.
aws-solutions-library-samples/guidance-for-advanced-multi-modal-chatbot-including-speech-to-speech-on-aws’s past year of commit activity - guidance-for-developing-infrastructure-as-code-templates-from-architecture-diagrams-on-aws Public
This Guidance demonstrates how to transform architecture diagrams into Infrastructure as Code (IaC) templates using AI, addressing the challenge of time-consuming manual coding for solutions targeted for AWS deployments.
aws-solutions-library-samples/guidance-for-developing-infrastructure-as-code-templates-from-architecture-diagrams-on-aws’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
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