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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
Read More 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
Read More 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
Read More 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
Read More Shared by AWS Machine Learning April 7, 2026
Favorite Content creators and organizations today face a persistent challenge: producing high-quality audio content at scale. Traditional podcast production requires significant time investment (research, scheduling, recording, editing) and substantial resources including studio space, equipment, and voice talent. These constraints limit how quickly organizations can respond to new topics or scale
Read More Shared by AWS Machine Learning April 7, 2026
Favorite Amazon Bedrock AgentCore Gateway provides a centralized layer for managing how AI agents connect to tools and MCP servers across your organization. It consolidates authentication, observability, and policy enforcement into a single endpoint, removing the need to configure and secure each MCP server connection individually. In this post, we
Read More Shared by AWS Machine Learning April 6, 2026
Favorite This post is co-written with Arad Ben Haim and Hannah Danan Moise from Windward. Windward is a leading Maritime AI company, delivering mission-grade, multi-source intelligence for maritime-based operations. By fusing Automatic Identification System (AIS) data, remote sensing signals, proprietary AI models, and generative AI, Windward provides a 360° view
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Favorite Agentic generative AI assistants represent a significant advancement in artificial intelligence, featuring dynamic systems powered by large language models (LLMs) that engage in open-ended dialogue and tackle complex tasks. Unlike basic chatbots, these implementations possess broad intelligence, maintaining multi-step conversations while adapting to user needs and executing necessary backend
Read More Shared by AWS Machine Learning April 6, 2026
Favorite Agentic tool calling is what makes AI agents useful in production. It’s how they query databases, trigger workflows, retrieve real-time data, and act on a user’s behalf. But base models frequently hallucinate tools, pass bad parameters, and attempt actions when they should ask for clarification. These failures erode trust
Read More Shared by AWS Machine Learning April 6, 2026