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ClearlyDefined: A Three-Year Roadmap for Sustainability and Growth

Favorite At FOSDEM earlier this year, the Open Source Initiative (OSI) and AboutCode formalized their collaboration through a Memorandum of Understanding (MoU). This agreement delegates the day-to-day operations of ClearlyDefined to AboutCode, ensuring the project’s long-term sustainability, continued development, and broader impact across the Open Source ecosystem. ClearlyDefined has long

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Shared by voicesofopensource April 14, 2026

How to build effective reward functions with AWS Lambda for Amazon Nova model customization

Favorite 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

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Shared by AWS Machine Learning April 13, 2026

Introducing stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime

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

Understanding Amazon Bedrock model lifecycle

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

Manage AI costs with Amazon Bedrock Projects

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

Reinforcement fine-tuning on Amazon Bedrock: Best practices

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