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Favorite Amazon SageMaker JumpStart provides pretrained models for a wide range of problem types to help you get started with AI workloads. SageMaker JumpStart offers access to solutions for top use cases that can be deployed to SageMaker AI Managed Inference endpoints or SageMaker HyperPod clusters. Through pre-set deployment options,
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Shared by AWS Machine Learning April 14, 2026
Favorite Generative AI is reshaping how organizations approach productivity, customer experiences, and operational capabilities. Across industries, teams are experimenting with generative AI to unlock new ways of working. Many of these efforts produce compelling proofs of concept (POC) that demonstrate technical feasibility. The real challenge begins after those early wins.
Read More Shared by AWS Machine Learning April 14, 2026
Favorite Skills in Chrome let you discover, save and remix AI workflows — and repeat them instantly. View Original Source (blog.google/technology/ai/) Here.
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
Favorite Google is bringing people together in Washington D.C. at our AI for the Economy Forum. View Original Source (blog.google/technology/ai/) Here.
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
Read More Shared by AWS Machine Learning April 13, 2026
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
Read More 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.
Read More 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
Read More 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
Read More Shared by AWS Machine Learning April 9, 2026