Favorite Agentic AI is transforming how organizations use generative AI, moving beyond prompt-response interactions to autonomous systems that can plan, execute, and complete complex multi-step tasks. While early proof of concepts in Agentic AI spaces excite business stakeholders, scaling them to production requires addressing scalability, governance, and security challenges. Amazon
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Shared by AWS Machine Learning April 14, 2026
Favorite This is guest post by David Lord, Taylor Lord, Shiva Prasad, Anup Banasavalli Hiriyanagowda, Nikhil Chandra from Guidesly. Guidesly is reshaping how outdoor recreation is booked, run, and experienced. Founded in 2019, it began as a way to connect anglers, hunters, divers, and outdoor recreation enthusiasts with trusted guides,
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Shared by AWS Machine Learning April 14, 2026
Favorite Deploying and scaling foundation models for generative AI inference presents challenges for organizations. Teams often struggle with complex infrastructure setup, unpredictable traffic patterns that lead to over-provisioning or performance bottlenecks, and the operational overhead of managing GPU resources efficiently. These pain points result in delayed time-to-market, suboptimal model performance,
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Shared by AWS Machine Learning April 14, 2026
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.
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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
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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
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Shared by AWS Machine Learning April 9, 2026
Shared by AWS Machine Learning April 14, 2026
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