Guardrails

Summarize call transcriptions securely with Amazon Transcribe and Amazon Bedrock Guardrails | Amazon Web Services

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Summarize call transcriptions securely with Amazon Transcribe and Amazon Bedrock Guardrails | Amazon Web Services

Given the volume of meetings, interviews, and customer interactions in modern business environments, audio recordings play a crucial role in capturing valuable information. Manually transcribing and summarizing these recordings can be a… Article Source https://aws.amazon.com/blogs/machine-learning/summarize-call-transcriptions-securely-with-amazon-transcribe-and-amazon-bedrock-guardrails/

Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents | Amazon Web Services

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Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents | Amazon Web Services

Agentic workflows are a fresh new perspective in building dynamic and complex business use case-based workflows with the help of large language models (LLMs) as their reasoning engine. These agentic workflows decompose the natural… Article Source https://aws.amazon.com/blogs/machine-learning/improve-llm-application-robustness-with-amazon-bedrock-guardrails-and-amazon-bedrock-agents/

Implement model-independent safety measures with Amazon Bedrock Guardrails | Amazon Web Services

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Implement model-independent safety measures with Amazon Bedrock Guardrails | Amazon Web Services

Generative AI models can produce information on a wide range of topics, but their application brings new challenges. These include maintaining relevance, avoiding toxic content, protecting sensitive information like personally… Article Source https://aws.amazon.com/blogs/machine-learning/implement-model-independent-safety-measures-with-amazon-bedrock-guardrails/

Amazon Makes Bedrock’s Guardrails Feature Even Stronger

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Amazon Makes Bedrock’s Guardrails Feature Even Stronger

In April 2024, Amazon implemented Guardrails for Amazon Bedrock, their platform for building generative AI applications, following White House Recommendations for responsible AI use. This feature allows users to block harmful content and assess model safety, offering customizable protections on top of native protection. Amazon claims it can block up to 85% more harmful content … Read more

Update from AWS: Guardrails now available as standalone API with Bedrock upgrade

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Update from AWS: Guardrails now available as standalone API with Bedrock upgrade

Amazon Web Services (AWS) introduced a new feature called Guardrails API during its annual summit in New York. This API, previously only available on Amazon Bedrock, is now standalone and allows users to set up guardrails for AI applications, regardless of whether they are using Amazon Bedrock or not. Vasi Philomin, AWS’s vice president of … Read more

AWS Summit sees Amazon introducing guardrails to its AI enterprise solutions

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AWS Summit sees Amazon introducing guardrails to its AI enterprise solutions

Amazon held its AWS Summit in New York to showcase its latest work in generative AI, emphasizing developer productivity and security in their keynote address. One highlight was the unveiling of Application Studio, a platform that allows users to build apps using natural language descriptions. Updates to Amazon Q were also announced, including availability in … Read more

Amazon Bedrock guardrails now have the ability to detect hallucinations and protect custom or third-party FM-built apps | AWS

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Amazon Bedrock guardrails now have the ability to detect hallucinations and protect custom or third-party FM-built apps | AWS

Amazon Bedrock’s Guardrails offer customers the ability to implement safeguards tailored to application requirements and enterprise AI policies. These guardrails aim to prevent unwanted content, thwart rapid attacks, and eliminate privacy breaches. By combining various policy types, users can configure these safeguards for different scenarios and extend them to both base models within Amazon Bedrock … Read more

Introducing Guardrails in Amazon Bedrock Knowledge Bases for Amazon Web Services

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Introducing Guardrails in Amazon Bedrock Knowledge Bases for Amazon Web Services

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps securely connect base models (FM) in Amazon Bedrock to your company’s data through Retrieve and Generate (RAG) enhanced generation. This feature optimizes the entire RAG workflow, from ingest to retrieval and increased requests, eliminating the need for custom data source integrations and data … Read more