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Prevent factual errors from LLM hallucinations with mathematically sound Automated Reasoning checks (preview)

by Azalio tdshpsk | Dec 3, 2024 | AWS

Today, we’re adding Automated Reasoning checks (preview) as a new safeguard in Amazon Bedrock Guardrails to help you mathematically validate the accuracy of responses generated by large language models (LLMs) and prevent factual errors from hallucinations. Amazon...

Build faster, more cost-efficient, highly accurate models with Amazon Bedrock Model Distillation (preview)

by Azalio tdshpsk | Dec 3, 2024 | AWS

Today, we’re announcing the availability of Amazon Bedrock Model Distillation in preview that automates the process of creating a distilled model for your specific use case by generating responses from a large foundation model (FM) called a teacher model and...

[In preview] Public Preview: Neon Serverless Postgres – an Azure Native Integration

by Azalio tdshpsk | Dec 3, 2024 | Cloud

Neon Serverless Postgres an Azure Native Integration offers a modern, serverless, and fully managed Postgres service. Developed through collaboration between Microsoft and Neon, this service enables the creation and management of Neon organizations...

Introducing queryable object metadata for Amazon S3 buckets (preview)

by Azalio tdshpsk | Dec 3, 2024 | AWS

AWS customers make use of Amazon Simple Storage Service (Amazon S3) at an incredible scale, regularly creating individual buckets that contain billions or trillions of objects! At that scale, finding the objects which meet particular criteria — objects with keys that...

New Amazon S3 Tables: Storage optimized for analytics workloads

by Azalio tdshpsk | Dec 3, 2024 | AWS

Amazon S3 Tables give you storage that is optimized for tabular data such as daily purchase transactions, streaming sensor data, and ad impressions in Apache Iceberg format, for easy queries using popular query engines like Amazon Athena, Amazon EMR, and Apache Spark....
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