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  1. Home
  2. /Repositories
  3. /aws-samples/generative-ai-on-amazon-sagemaker
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repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

aws-samples/generative-ai-on-amazon-sagemaker

Amazon SageMaker AI collection of examples, code samples and recipes.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 73%Launching UI for generative AI inference recommendations in Amazon SageMaker AI - Amazon Web Services (AWS) →
  • PossiblePossibly related (embedding) · 68%Monitoring discriminative ML models using Amazon SageMaker AI with MLflow - Amazon Web Services (AWS) →
  • PossiblePossibly related (embedding) · 66%Launching UI for generative AI inference recommendations in Amazon SageMaker AI →
  • PossiblePossibly related (embedding) · 64%Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI →
  • PossiblePossibly related (embedding) · 63%Deploying quantized models on Amazon SageMaker AI with Unsloth - Amazon Web Services (AWS) →
  • PossiblePossibly related (embedding) · 65%Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics - Amazon Web Services (AWS) →
  • PossiblePossibly related (embedding) · 59%Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics →
  • PossiblePossibly related (embedding) · 63%Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components →

Covers

newsLaunching UI for generative AI inference recommendations in Amazon SageMaker AI - Amazon Web Services (AWS)newsMonitoring discriminative ML models using Amazon SageMaker AI with MLflow - Amazon Web Services (AWS)newsLaunching UI for generative AI inference recommendations in Amazon SageMaker AInewsStreaming benchmark and recommendation results to MLflow with Amazon SageMaker AInewsDeploying quantized models on Amazon SageMaker AI with Unsloth - Amazon Web Services (AWS)

Covers (incoming)

newsDeepgram deepens Amazon SageMaker AI observability with Enhanced Metrics - Amazon Web Services (AWS)newsDeepgram deepens Amazon SageMaker AI observability with Enhanced MetricsnewsSpreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference ComponentsnewsBatch write and discover records in Amazon SageMaker Feature StorenewsBatch write and discover records in Amazon SageMaker Feature Store - Amazon Web Services (AWS)newsHow Boomi Scribe streamlines documentation using AWSnewsHow UTHealth Houston built HIPAA-compliant generative AI at scale: iDFax’s 2-year journey with Amazon Bedrock - Amazon Web Services (AWS)newsAI/R Compass UOL Named Amazon Quick SI Partner by AWS Generative AI Innovation Center - The Manila TimesnewsTransforming Food Label Verification in Retail with Generative AI - aws.amazon.comnewsBuild a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environmentnewsBuild a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod - Amazon Web Services (AWS)newsRun agent-driven Amazon SageMaker HyperPod operations with InstantStartnewsBuild an explainable next-best-product recommendation system for banking on AWSnewsIntroducing new Ray capabilities on SageMaker HyperPod - Amazon Web Services (AWS)

Related across the graph

newsBatch write and discover records in Amazon SageMaker Feature StorenewsDeepgram deepens Amazon SageMaker AI observability with Enhanced MetricsnewsBuild a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod - Amazon Web Services (AWS)newsLaunching UI for generative AI inference recommendations in Amazon SageMaker AInewsRun agent-driven Amazon SageMaker HyperPod operations with InstantStartnewsDeepgram deepens Amazon SageMaker AI observability with Enhanced Metrics - Amazon Web Services (AWS)newsAI/R Compass UOL Named Amazon Quick SI Partner by AWS Generative AI Innovation Center - The Manila TimesnewsBatch write and discover records in Amazon SageMaker Feature Store - Amazon Web Services (AWS)newsBuild an explainable next-best-product recommendation system for banking on AWSnewsHow Boomi Scribe streamlines documentation using AWSnewsSpreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference ComponentsnewsDeploying quantized models on Amazon SageMaker AI with Unsloth - Amazon Web Services (AWS)newsLaunching UI for generative AI inference recommendations in Amazon SageMaker AI - Amazon Web Services (AWS)newsBuild a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environmentnewsMonitoring discriminative ML models using Amazon SageMaker AI with MLflow - Amazon Web Services (AWS)newsTransforming Food Label Verification in Retail with Generative AI - aws.amazon.comnewsStreaming benchmark and recommendation results to MLflow with Amazon SageMaker AInewsHow UTHealth Houston built HIPAA-compliant generative AI at scale: iDFax’s 2-year journey with Amazon Bedrock - Amazon Web Services (AWS)newsIntroducing new Ray capabilities on SageMaker HyperPod - Amazon Web Services (AWS)
Knowledge path·NBatch write and discover records in Amazon SageMaker Feature Store→NDeepgram deepens Amazon SageMaker AI observability with Enhanced Metrics→NBuild a Physical AI model factory with NVIDIA Cosmos 3 on SageMaker HyperPod - Amazon Web Services (AWS)→Raws-samples/generative-ai-on-amazon-sagemaker

Topics

amazon-sagemakergenerative-aillm

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