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Favorite A common challenge in building agentic workflows is mixing managed foundation models (FMs) with your own cost-optimized or domain-specific models, without rewriting your agent framework to do it. In this post, we show you how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime, a
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Shared by AWS Machine Learning August 15, 2026
Favorite In multi-turn reinforcement learning (RL), your custom reward function decides what the model actually learns. A subtly wrong reward can quietly teach the wrong thing while every training curve looks healthy. Designing a reward that holds up over multi-turn, agentic tasks is one of the hardest parts of customizing
Read More Shared by AWS Machine Learning August 15, 2026
Favorite Your enterprise data lives in dozens of systems, but often the work happens in Microsoft 365. Amazon Quick bridges that gap as an AI assistant grounded in your data, now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions don’t require you to adopt a new application
Read More Shared by AWS Machine Learning August 14, 2026
Favorite Mergers and acquisitions (M&A) teams face a persistent challenge: conducting thorough due diligence on multiple acquisition targets while maintaining speed and analytical rigor. Teams often spend weeks manually reviewing targets before identifying viable opportunities. Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with
Read More Shared by AWS Machine Learning August 14, 2026
Favorite Enterprises across healthcare, manufacturing, retail, and financial services struggle to automate legacy web applications that demand human-like interaction beyond what standard Robotic Process Automation (RPA) can provide at scale. Amazon Bedrock AgentCore Browser Tool, combined with Strands Agents, addresses this gap with a fully managed browser service that lets
Read More Shared by AWS Machine Learning August 14, 2026
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
Read More 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 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
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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
Read More Shared by AWS Machine Learning August 13, 2026