TechniqueRLHF / Alignment8 recent entries13 Sept 2026Wiki Lint Report — 2026-09-13Automated lint: 12 errors, 54839 warnings, 3 info→20 Sept 2026Wiki Lint Report — 2026-09-20Automated lint: 14 errors, 54840 warnings, 3 info→25 Sept 2026Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughputLearn how to scale Mixture-of-Experts (MoE) reinforcement learning on Amazon EKS using Elastic Fabric Adapter (EFA) and DeepEP. This post presents an architecture that combines Amazon EKS, EFA, and Am
TechniqueRAG8 recent entries20 Sept 2026Wiki Lint Report — 2026-09-20Automated lint: 14 errors, 54840 warnings, 3 info→22 Sept 2026Bring more intelligence to everyday work with GPT-6 Sol and GPT-6 Luna on Amazon BedrockAmazon Bedrock has released OpenAI’s GPT‑6 Sol and GPT‑6 Luna as generally available services, offering distinct capabilities for advanced reasoning/coding (Sol) and high‑volume repeatable tasks (Luna→27 Sept 2026Wiki Lint Report — 2026-09-27Automated lint: 17 errors, 59669 warnings, 3 info→29 Sept 2026Building an AI-powered contract intelligence platform with Amazon Quick and Amazon Bedrock AgentCoreManually extracting data from hundreds of vendor contracts doesn't scale, and RAG chat tools fall short on portfolio-wide questions. This post shares a contract intelligence platform on AWS that uses →30 Sept 2026Query claims in natural language with Amazon Bedrock Knowledge BasesThis technical how-to builds a conversational claims assistant on Amazon Bedrock Knowledge Bases that answers natural-language questions with citations. It covers ingesting claim documents from Amazon→4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info→5 Oct 2026Agentic retrieval with LangChain and Amazon Bedrock Knowledge BasesBuild a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrie→7 Oct 2026Rethinking access control for RAG with Amazon Quick and Amazon BedrockEnterprise RAG unlocks insights from knowledge sources like SharePoint, Google Drive, and Confluence, but those sources carry complex permissions. Learn how Amazon Quick and Amazon Bedrock Knowledge B
TechniqueAgents8 recent entries9 Oct 2026ICYMI: What landed for AI builders in September 2026A monthly recap of the latest Amazon Bedrock, Amazon Bedrock AgentCore, and Strands updates from September 2026: broader model choice, faster serverless agents with built-in evaluation, and automated →9 Oct 2026How Postman runs Agent Mode for 40 million developers on Amazon BedrockBuilding an AI agent that works in a demo is a different problem from running one for 40 million developers. Postman and AWS share the architectural patterns behind Agent Mode: controlling tool sprawl→13 Oct 2026Natural language security queries at Orca Security using Amazon BedrockOrca Security built Discovery AI, a natural language query agent on Amazon Bedrock that converts plain-English questions into Sonar queries. The post shares the multi-stage architecture and the result→13 Oct 2026Manage private pricing offers for Amazon Bedrock with managed entitlementsManaging AI model access across dozens or hundreds of AWS accounts creates friction when each account must accept AWS Marketplace Private Pricing Offers individually. This post shows two ways to activ→13 Oct 2026Inside Action Gateway in Managed AgentsA coding agent finishes a change and wants to open a GitHub issue with a link to its results. The agent can describe the issue, but creating it belongs to a different system. It needs a tool that can →13 Oct 2026How ShipStation Global built an AI IT help desk on Amazon Bedrock AgentCoreShipStation Global's engineering team built Deckhand, an AI IT help desk agent for Slack on Amazon Bedrock AgentCore. It answers routine IT questions from a curated knowledge base, reads error-message→13 Oct 2026Building agents that transact with Anchor Browser and AgentCore paymentsLearn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon Bedrock AgentCore pay→13 Oct 2026Build long-horizon agents with Grok 4.7 on Amazon BedrockGrok 4.7 is now available on Amazon Bedrock. In this post, we build a tool-calling agent on Grok 4.7 and evaluate it on three reasoning tasks at four reasoning effort levels, measuring correctness and
TechniqueFine-tuning8 recent entries4 Sept 2026Customizing your knowledge base on Amazon Bedrock for large and complex documents using Amazon TextractLearn how to customize an Amazon Bedrock knowledge base for large, complex documents by combining the high-accuracy text extraction of Amazon Textract with the generative AI of Amazon Bedrock. This po→9 Sept 2026Wiki Lint Report — 2026-09-09Automated lint: 12 errors, 53990 warnings, 3 info→13 Sept 2026Wiki Lint Report — 2026-09-13Automated lint: 12 errors, 54839 warnings, 3 info→20 Sept 2026Wiki Lint Report — 2026-09-20Automated lint: 14 errors, 54840 warnings, 3 info→24 Sept 2026Aderant builds intelligent ticket triage with Amazon NovaLearn how Aderant built an intelligent ticket triage system on Amazon Nova Lite through Amazon Bedrock, automating context gathering, classification, routing, and knowledge enrichment for its cloud op→25 Sept 2026Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughputLearn how to scale Mixture-of-Experts (MoE) reinforcement learning on Amazon EKS using Elastic Fabric Adapter (EFA) and DeepEP. This post presents an architecture that combines Amazon EKS, EFA, and Am→27 Sept 2026Wiki Lint Report — 2026-09-27Automated lint: 17 errors, 59669 warnings, 3 info→4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info
TechniqueMultimodal8 recent entries22 Sept 2026Extending public sector intelligence with Agentforce and AWSPublic sector agencies process large volumes of unstructured evidence, such as body camera footage and scanned documents. This post shows how to combine Amazon Bedrock Data Automation with the Model C→25 Sept 2026Scaling MoE reinforcement learning on Amazon EKS with EFA and DeepEP with 40% more throughputLearn how to scale Mixture-of-Experts (MoE) reinforcement learning on Amazon EKS using Elastic Fabric Adapter (EFA) and DeepEP. This post presents an architecture that combines Amazon EKS, EFA, and Am→27 Sept 2026Wiki Lint Report — 2026-09-27Automated lint: 17 errors, 59669 warnings, 3 info→29 Sept 2026Verifying the Linear Representation Hypothesis: How Interpretable Are Vision SAEs?arXiv:2609.35020v1 Announce Type: new Abstract: Vision Sparse Autoencoders (SAEs) have become a popular tool in Mechanistic Interpretability due to their presumed ability to disentangle complex featur→29 Sept 2026How Condé Nast built multimodal video discovery with Amazon BedrockCondé Nast's editorial teams spent an average of 250 minutes per task searching a library of more than 140,000 videos using only titles and descriptions. Working with the AWS Generative AI Innovation →4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info→6 Oct 2026Multimodal Deep Survival Analysis for Sinkhole SusceptibilityarXiv:2610.06365v1 Announce Type: new Abstract: Sinkholes are a widespread geohazard in karst terrain. In Florida, soluble carbonate bedrock, shallow groundwater, and intense rainfall combine to make →13 Oct 2026Building search across text, images, audio, and video? Multimodal search uses vector embeddings to retrieve content based on meaning, not ju…Building search across text, images, audio, and video? Multimodal search uses vector embeddings to retrieve content based on meaning, not just keywords or metadata. Less manual tagging. More flexible
TechniqueSafety8 recent entries29 Sept 2026Verifying the Linear Representation Hypothesis: How Interpretable Are Vision SAEs?arXiv:2609.35020v1 Announce Type: new Abstract: Vision Sparse Autoencoders (SAEs) have become a popular tool in Mechanistic Interpretability due to their presumed ability to disentangle complex featur→30 Sept 2026Query claims in natural language with Amazon Bedrock Knowledge BasesThis technical how-to builds a conversational claims assistant on Amazon Bedrock Knowledge Bases that answers natural-language questions with citations. It covers ingesting claim documents from Amazon→4 Oct 2026Wiki Lint Report — 2026-10-04Automated lint: 19 errors, 64915 warnings, 3 info→6 Oct 2026Responsible AI governance: How AWS positions customers to align with ISO/IEC 42005:2025AWS invests in tools that help customers align with international standards for responsible AI governance. In this post, we explore the AI system impact assessment: what it is, how it improves enterpr→6 Oct 2026Build a voice travel concierge with Amazon Bedrock AgentCore, Managed Knowledge Base and Nova SonicAdd a voice travel concierge to an airline app with Amazon Bedrock AgentCore, Amazon Nova Sonic for real-time speech, and Amazon Bedrock Knowledge Bases for policy answers. Travelers change seats, che→7 Oct 2026How Qlik built grounded, enterprise-scale AI with Amazon BedrockQlik built Qlik Answers on Amazon Bedrock to give its 40,000+ customers grounded, sourced answers across structured and unstructured enterprise data. Learn how a layered, multi-agent architecture with→13 Oct 2026Inside Action Gateway in Managed AgentsA coding agent finishes a change and wants to open a GitHub issue with a link to its results. The agent can describe the issue, but creating it belongs to a different system. It needs a tool that can →13 Oct 2026Building agents that transact with Anchor Browser and AgentCore paymentsLearn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon Bedrock AgentCore pay