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Favorite When you deploy AI agents built with frameworks like Strands Agents, LangGraph, and CrewAI, you need observability into their performance. This holds true whether they run on Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), AWS Lambda, on-premises, or another cloud provider such as Google
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Shared by AWS Machine Learning August 14, 2026
Favorite Sheets canvas turns data into interactive dashboards, custom study trackers, seating charts, and more, all with a simple prompt. View Original Source (blog.google/technology/ai/) Here.
Favorite Members Newsletter – August 2026 Dear OSI community, I know it seems like it’s all any of us are hearing about lately, but I need a minute to talk about Open Source and AI. Every model making headlines today, open or closed, sits on top of Open Source code,
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Shared by voicesofopensource August 13, 2026
Favorite Summer is normally quiet in Brussels, but this year might just be the exception: over the last month, the EU has passed two milestones in implementing its Cyber Resilience (CRA) and AI acts. The OSI has been engaged with European policymakers over the past two years to ensure those
Read More Shared by voicesofopensource August 13, 2026
Favorite Running large language model (LLM) inference at scale typically forces a KV cache trade-off: you either pay for oversized GPU instances to accommodate a growing KV cache, or you accept slow time-to-first-token (TTFT) as identical prompts get recomputed on every request. For teams deploying a broad catalog of publicly
Read More Shared by AWS Machine Learning August 13, 2026
Favorite This post is co-written with Patrick Duffy from Solv Labs and Houman Shadab from ICME Labs Solv Labs built an AI agent-payments workflow using Amazon Bedrock AgentCore payments, a capability of Amazon Bedrock AgentCore, governed by two layers: ORACLE (Solv’s policy engine) and ICME PreFlight for compliance verification. AgentCore
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Favorite This post is co-authored with OneAdvanced team Deploying AI agents on a United Kingdom (UK)-sovereign AWS architecture requires careful decisions about model hosting, data residency, and agent orchestration. OneAdvanced, a UK-based enterprise software provider serving over 10,000 customers, needed to deliver AI capabilities while making sure that no data
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Favorite Part 1 introduced granular cost attribution for Amazon Bedrock. This feature automatically traces every inference request back to the IAM principal that made the call. It showed how the new line_item_iam_principal column can give you per-user and per-application visibility. With optional cost allocation tags, you can also aggregate spend
Read More Shared by AWS Machine Learning August 13, 2026
Favorite A surge of openness in AI has defined 2026. Amid calls for both caution and support, prevailing trends point to a future in which models are built and released openly. Recent research offers new insight into the adoption of open AI systems, who benefits, and the role of Open
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Favorite AI administrators deploying Claude Code and Claude Desktop across their workforce need centralized controls over authentication, model access, cost attribution, and spend enforcement. These controls reduce operational overhead and apply governance consistently at scale. Claude apps gateway provides a self-hosted governance layer between these applications and Amazon Bedrock or
Read More Shared by AWS Machine Learning August 12, 2026