Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) and tools to deploy and operate agents.| Amazon Web Services, Inc.
As organizations rapidly deploy large language models (LLMs) and generative AI agents to power increasingly intelligent workloads, they struggle to monitor and troubleshoot the complex interactions within their AI applications. Traditional monitoring tools fall short in providing the visibility across components, leading to developers and AI/ML engineers to manually correlate interaction logs or building custom […]| AWS Cloud Operations Blog
Amazon Bedrock| Amazon Web Services, Inc.
Learn how to reduce and protect from harmful information being sent to end-users.| docs.aws.amazon.com
AWS Lambda is a serverless compute service for running code without having to provision or manage servers. You pay only for the compute time you consume.| Amazon Web Services, Inc.
Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration—streamlining development while working with any open-source framework and foundation model.| Amazon Web Services
Safeguarding LLMs with guardrails tailored to your generative AI use cases and responsible AI policies.| Amazon Web Services, Inc.
In a recent blog post, I discussed whether AI agents need their own identity. I ended with “yes, they do”, but how do we end up doing that? In this blog, we’ll look at a very important concept when it comes to agent identity: impersonation or delegation. Should your marketing agent simply “become” the end user when calling the GDPR compliance agent? Or should it clearly identify itself as acting on the user’s behalf?| ceposta Technology Blog
Amazon EC2 provides secure, resizable compute in the cloud, offering the broadest choice of processor, storage, networking, OS, and purchase model.| Amazon Web Services, Inc.
Connect foundation models to your company data sources for retrieval augmented generation (RAG), to extend the power of foundation models.| Amazon Web Services, Inc.
