Enhance performance of generative language models with self-consistency prompting on Amazon Bedrock

Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

Run an audience overlap analysis in AWS Clean Rooms

Large language model inference over confidential data using AWS Nitro Enclaves

Efficiently fine-tune the ESM-2 protein language model with Amazon SageMaker

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

Automate Amazon SageMaker Pipelines DAG creation

Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

Detect anomalies in manufacturing data using Amazon SageMaker Canvas