AWS has updated the Data Automation capability inside its generative AI service Amazon Bedrock to further support the automation of generating insights from unstructured data and bring down the ...

The biggest expansion of models to date, new inference optimization tools, and additional data capabilities give customers even greater flexibility and control to build and deploy production-ready ...

AWS has also added a new LLM-as-a-judge feature inside Bedrock Model Evaluation — a tool inside Bedrock that can help enterprises choose an LLM that fits their use case.

AWS looks to make RAG easier and automatic with new enterprise AI tools that help organizations with structured data retrieval, GraphRAG and unstructured data support.

Agentic-RAG (Connect to Design System Data Source) By connecting to Amazon Bedrock's Knowledge Base, you can generate websites referencing any design system, project source code, or website styles.

AWS Bedrock provides an unified AI Platform to design, build and manage autonomous agents and the needed architecture. While AWS Bedrock is very strong in connecting multiple LLM providers, the way to ...

AWS updated Bedrock with two new capabilities, one to let large models teach smaller models and another to catch and correct hallucinations.

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 ...

The AWS Blog for details on today’s announcements: Automated Reasoning checks, multi-agent collaboration, and Model Distillation. The Amazon Bedrock page to learn more about the capabilities.

Amazon Bedrock was only launched for general use in September last year but a number of significant upgrades were announced today at AWS’s major global event Re:Invent 2024.