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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 107
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Gemma is now available in Amazon SageMaker JumpStart 

AWS Machine Learning

If you also account for the antenna, it brings up the total height to 443 meters, or 1,454 feet', 'role': 'assistant'}, {'content': 'Some people need to pilot an aircraft above it and need to know.nSo what is the answer in feet?' Compare the model’s performance to benchmarks and industry standards.

Benchmark 109
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Best practices to build generative AI applications on AWS

AWS Machine Learning

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.