How Postman runs Agent Mode for 40 million developers on Amazon Bedrock
Postman detailed how its Agent Mode serves 40 million developers on Amazon Bedrock.
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AWS Machine Learning BlogAI Score3434
AWS Machine Learning BlogAI Score2222 Build a voice travel concierge with Amazon Bedrock AgentCore, Managed Knowledge Base and Nova Sonic
AWS shows how to build an airline voice concierge on Amazon Bedrock AgentCore.
AWS Machine Learning BlogAI Score2626 Rethinking access control for RAG with Amazon Quick and Amazon Bedrock
Amazon Quick and Amazon Bedrock Knowledge Bases add real-time ACL enforcement on top of pre-retrieval filtering.
AWS Machine Learning BlogAI Score2222 How Qlik built grounded, enterprise-scale AI with Amazon Bedrock
Qlik built Qlik Answers on Amazon Bedrock to give employees grounded, sourced answers from knowledge bases.
AWS Machine Learning BlogAI Score2424 How Cornerstone OnDemand cut database diagnosis by 78% with Amazon Bedrock
Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents.
AWS Machine Learning BlogAI Score3838 Building a context-aware AI assistant on AgentCore and OpenClaw
This post shows how to build a personal assistant with persistent memory using OpenClaw.
Hugging Face BlogFeaturedAI Score6060 Ai2 open-sources AstaBrief 8B, a fast report-generation model for its Asta research platform
Ai2 open-sourced AstaBrief 8B, a model built on Qwen3-8B that turns a research question and retrieved literature excerpts into a cited report.
Why it matters: The post gives the training recipe and filtering lessons behind an open-weights scientific report model, useful for anyone building grounded generation.
GitHub Blog · AI & MLAI Score1212 Should you read the code, is RAG dead, and did Skills kill MCP?
A GitHub Podcast episode pushes back on five common AI hot takes: you still need to read AI-generated code.
Mistral AIFeaturedAI Score7171 Mistral launches Agentic Search, a multi-step retrieval layer for enterprise documents
Mistral released Agentic Search, a multi-step retrieval layer that lets models search.
Why it matters: The post gives benchmark deltas and the five retrieval tools, so readers can judge whether their one-shot RAG pipeline should be replaced.