Favorite Stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime now enable interactive, multi-turn agent workflows that were previously impossible with stateless implementations. Developers building AI agents often struggle when their workflows must pause mid-execution to ask users for clarification, request large language model (LLM)-generated content, or provide real-time progress
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Shared by AWS Machine Learning April 9, 2026
Favorite When you build AI-powered applications, your users must understand and trust AI agents that navigate websites and interact with web content on their behalf. When an agent interacts with web content autonomously, your users require visibility into those actions to maintain confidence and control, which they don’t currently have.
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Shared by AWS Machine Learning April 9, 2026
Favorite Now available through Amazon Bedrock AgentCore, use AWS Agent Registry to discover, share, and reuse agents, tools, and agent skills across your organization. As enterprises scale to hundreds or thousands of agents, platform teams face three critical challenges: visibility (knowing what agents exist across the organization), control (governing who
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Shared by AWS Machine Learning April 9, 2026
Favorite Amazon Bedrock regularly releases new foundation model (FM) versions with better capabilities, accuracy, and safety. Understanding the model lifecycle is essential for effective planning and management of AI applications built on Amazon Bedrock. Before migrating your applications, you can test these models through the Amazon Bedrock console or API
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Shared by AWS Machine Learning April 9, 2026
Favorite As organizations scale their AI workloads on Amazon Bedrock, understanding what’s driving spending becomes critical. Teams might need to perform chargebacks, investigate cost spikes, and guide optimization decisions, all of which require cost attribution at the workload level. With Amazon Bedrock Projects, you can attribute inference costs to specific
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Shared by AWS Machine Learning April 8, 2026
Favorite You can use reinforcement Fine-Tuning (RFT) in Amazon Bedrock to customize Amazon Nova and supported open source models by defining what “good” looks like—no large labeled datasets required. By learning from reward signals rather than static examples, RFT delivers up to 66% accuracy gains over base models at reduced
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Shared by AWS Machine Learning April 8, 2026
Favorite If you’re looking to enhance your content understanding and search capabilities, audio embeddings offer a powerful solution. In this post, you’ll learn how to use Amazon Nova Multimodal Embeddings to transform your audio content to searchable, intelligent data that captures acoustic features like tone, emotion, musical characteristics, and environmental
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Shared by AWS Machine Learning April 8, 2026
Favorite In healthcare and life sciences, AI agents help organizations process clinical data, submit regulatory filings, automate medical coding, and accelerate drug development and commercialization. However, the sensitive nature of healthcare data and regulatory requirements like Good Practice (GxP) compliance require human oversight at key decision points. This is where
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Shared by AWS Machine Learning April 8, 2026
Favorite Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As customers scale their AI deployments, they need models that reflect proprietary knowledge and workflows — whether that means maintaining a consistent brand voice in customer communications, handling complex industry-specific
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Shared by AWS Machine Learning April 8, 2026
Favorite Building a text-to-SQL solution using Amazon Bedrock can alleviate one of the most persistent bottlenecks in data-driven organizations: the delay between asking a business question and getting a clear, data-backed answer. You might be familiar with the challenge of navigating competing priorities when your one-time question is waiting in the
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Shared by AWS Machine Learning April 7, 2026
Shared by AWS Machine Learning April 9, 2026
