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How to build effective reward functions with AWS Lambda for Amazon Nova model customization
Building effective reward functions can help you customize Amazon Nova models to your specific needs, with AWS Lambda providing the scalable, cost-effective foundation. Lambda’s serverless architecture lets you focus on defining quality criteria while it handles the computational infrastructure. Amazon Nova offers multiple customization approaches, with Reinforcement fine-tuning (RFT) standing out for its ability to teach …
Understanding Amazon Bedrock model lifecycle
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 to evaluate their performance and compatibility. …
The future of managing agents at scale: AWS Agent Registry now in preview
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 can publish and what becomes discoverable …
The future of managing agents at scale: AWS Agent Registry now in preview Read More »
Embed a live AI browser agent in your React app with Amazon Bedrock AgentCore
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. The Amazon Bedrock AgentCore Browser BrowserLiveView …
Embed a live AI browser agent in your React app with Amazon Bedrock AgentCore Read More »
Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime
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 updates during long-running operations, stateless MCP …
Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime Read More »
Customize Amazon Nova models with Amazon Bedrock fine-tuning
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 workflows or accurately classifying intents in …
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Human-in-the-loop constructs for agentic workflows in healthcare and life sciences
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 human-in-the-loop (HITL) constructs become essential. In …
Human-in-the-loop constructs for agentic workflows in healthcare and life sciences Read More »
Building intelligent audio search with Amazon Nova Embeddings: A deep dive into semantic audio understanding
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 sounds. Finding specific content in these …
Reinforcement fine-tuning on Amazon Bedrock: Best practices
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 customization cost and complexity. This post …
Reinforcement fine-tuning on Amazon Bedrock: Best practices Read More »