Guardrails

In: Artificial Intelligence

As organizations embrace generative AI, they face critical challenges in making sure their applications align with their designed safeguards. Although foundation models (FMs) offer powerful capabilities, they can also introduce unique risks, such as generating harmful content, exposing sensitive information, being vulnerable to prompt injection attacks, and returning model hallucinations.Continue Reading

In: Artificial Intelligence

Amazon Bedrock Guardrails announces the general availability of image content filters, enabling you to moderate both image and text content in your generative AI applications. Previously limited to text-only filtering, this enhancement now provides comprehensive content moderation across both modalities. This new capability removes the heavy lifting required to buildContinue Reading

In: Artificial Intelligence

Deploying models efficiently, reliably, and cost-effectively is a critical challenge for organizations of all sizes. As organizations increasingly deploy foundation models (FMs) and other machine learning (ML) models to production, they face challenges related to resource utilization, cost-efficiency, and maintaining high availability during updates. Amazon SageMaker AI introduced inference componentContinue Reading

In: Artificial Intelligence

As generative AI adoption accelerates across enterprises, maintaining safe, responsible, and compliant AI interactions has never been more critical. Amazon Bedrock Guardrails provides configurable safeguards that help organizations build generative AI applications with industry-leading safety protections. With Amazon Bedrock Guardrails, you can implement safeguards in your generative AI applications thatContinue Reading

In: Artificial Intelligence

Foundational models (FMs) and generative AI are transforming how financial service institutions (FSIs) operate their core business functions. AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. FMs are probabilistic in nature and produce a rangeContinue Reading

In: Artificial Intelligence

The rapid advancement of generative AI has brought powerful publicly available large language models (LLMs), such as DeepSeek-R1, to the forefront of innovation. The DeepSeek-R1 models are now accessible through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart, and distilled variants are available through Amazon Bedrock Custom Model Import. According toContinue Reading

In: Artificial Intelligence

As large language models (LLMs) become increasingly integrated into customer-facing applications, organizations are exploring ways to leverage their natural language processing capabilities. Many businesses are investigating how AI can enhance customer engagement and service delivery, and facing challenges in making sure LLMs driven engagements are on topic and follow theContinue Reading

In: Artificial Intelligence

In this post, we demonstrate how to create an automated email response solution using Amazon Bedrock and its features, including Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon WebContinue Reading

In: Artificial Intelligence

create_response = client.create_guardrail( name=”math-tutoring-guardrail”, description=’Prevents the model from providing non-math tutoring, in-person tutoring, or tutoring outside grades 6-12.’, topicPolicyConfig={ ‘topicsConfig’: [ { ‘name’: ‘In-Person Tutoring’, ‘definition’: ‘Requests for face-to-face, physical tutoring sessions.’, ‘examples’: [ ‘Can you tutor me in person?’, ‘Do you offer home tutoring visits?’, ‘I need a tutorContinue Reading