The new AWS cloud service, Amazon Bedrock, is designed to let enterprises select foundation models for building their own generative AI applications for targeted use cases and commercial use.

Bedrock’s Data Automation, according to AWS, is targeted at developers who can use the capability to accelerate the development of generative AI-driven applications by helping build components ...

AWS customers can customize any Bedrock model by pointing the service at a few labeled examples in Amazon S3, Amazon’s cloud storage plan — as few as 20 is enough. No customer data is used to ...

Another key enterprise AI challenge that AWS is looking to solve for RAG is helping to improve accuracy, with more data sources. That’s the challenge that the new GraphRAG capability aims to solve.

Bedrock Engineer is Autonomous software development agent apps using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, ...

"Agents for Amazon Bedrock is a new, fully managed capability that makes it easier for developers to create generative-AI based applications that can complete complex tasks for a wide range of use ...

At AWS re:Invent, Amazon Web Services announced new innovations for Amazon Bedrock, a fully managed service for building and scaling generative artificial intelligence applications with high ...

Bedrock is a suite of generative AI tools that can help Amazon Web Service customers — businesses who run their operations on Amazon's data servers — build chatbots, generate and summarize ...

The second purpose of Guardrails for Amazon Bedrock is to protect sensitive data such as personally identifiable information, or PII. According to AWS, the feature allows AI applications to block ...