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OSI Adopts SPDX IDs for License URLs

Favorite For more than 25 years, the Open Source Initiative (OSI) website has been a central reference point for Open Source licenses. Over that time, our site has evolved through multiple redesigns, content management systems, and infrastructure migrations. As a result, license pages accumulated a variety of URL formats, including

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Shared by voicesofopensource March 10, 2026

Help Shape the Research Agenda for Open Technology

Favorite Open technologies such as Open Source software, open standards, open data, and open hardware play an increasingly important role in digital infrastructure, public sector innovation, and democratic governance around the world. Yet the research that informs policy and investment in these technologies is often fragmented and uneven. To address

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Shared by voicesofopensource March 9, 2026

Building custom model provider for Strands Agents with LLMs hosted on SageMaker AI endpoints

Favorite Organizations increasingly deploy custom large language models (LLMs) on Amazon SageMaker AI real-time endpoints using their preferred serving frameworks—such as SGLang, vLLM, or TorchServe—to help gain greater control over their deployments, optimize costs, and align with compliance requirements. However, this flexibility introduces a critical technical challenge: response format incompatibility

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Shared by AWS Machine Learning March 6, 2026

Drive organizational growth with Amazon Lex multi-developer CI/CD pipeline

Favorite As your conversational AI initiatives evolve, developing Amazon Lex assistants becomes increasingly complex. Multiple developers working on the same shared Lex instance leads to configuration conflicts, overwritten changes, and slower iteration cycles. Scaling Amazon Lex development requires isolated environments, version control, and automated deployment pipelines. By adopting well-structured continuous

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Shared by AWS Machine Learning March 6, 2026

How Ricoh built a scalable intelligent document processing solution on AWS

Favorite This post is cowritten by Jeremy Jacobson and Rado Fulek from Ricoh. This post demonstrates how enterprises can overcome document processing scaling limits by combining generative AI, serverless architecture, and standardized frameworks. Ricoh engineered a repeatable, reusable framework using the AWS GenAI Intelligent Document Processing (IDP) Accelerator. This framework

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Shared by AWS Machine Learning March 5, 2026