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This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Sample Amazon Lex chat bot web interface
LLM-powered document chat using Amazon Bedrock and AWS Serverless
Amazon Connect + Lex omnichannel demo and implementation guide that is backed by a sentiment analysis engine that uses Amazon Transcribe + Comprehend as part of a Step Functions workflow.
GenAI chat interface powered by an Amazon SageMaker JumpStart Foundational Model that allows users to use natural language to classify, summarize, redact, and query a backend document store for information about the types of documents and other metadata; similar to what the Textract AnalyzeDocument API provides.
MLOps End-to-End Example using Amazon SageMaker Pipeline, AWS CodePipeline and AWS CDK
AWS Quick Start Team
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