Reactive Machines

Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern

Sweep thousands of leases for compliance using Amazon Quick and the Adjudicated Query pattern

Checking tens of thousands of apartment leases against constantly changing state landlord-tenant laws, and proving you actually checked all of…
Language Discrimination Improves Linguistic Learning in Multilingual Speech Models

Language Discrimination Improves Linguistic Learning in Multilingual Speech Models

Multilingual self-supervised speech models can benefit from sharing information across languages, but under a matched total pretraining data budget they…
Limits of Confidence in Diffusion

Limits of Confidence in Diffusion

Discrete diffusion, including remasking and uniform-state samplers, generate a sequence by writing multiple token positions per step, drawing each from…
Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore

Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore

October 2026: This post was reviewed and updated for accuracy. Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore…
Serve live, governed data in AI-built apps with Amazon Quick

Serve live, governed data in AI-built apps with Amazon Quick

Quick Apps could already bring live data into an app from connectors and content sources: action connectors (services like Jira,…
Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors

Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors

In my previous post: Building persistent memory for multi-agent AI systems with Amazon S3 Vectors, we explored why memory engineering…
How uniopen customized Amazon Nova to their retail moderation policies for production deployment

How uniopen customized Amazon Nova to their retail moderation policies for production deployment

uniopen is a digital communication and membership platform launched by Taiwan’s Uni-President Enterprises Group, connecting customers to ecommerce, membership benefits,…
How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over…
RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback

RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback

The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task,…
Query claims in natural language with Amazon Bedrock Knowledge Bases

Query claims in natural language with Amazon Bedrock Knowledge Bases

Claim answers are scattered across adjuster diary entries, repair estimates, police reports, payment ledgers, and scanned attachments rather than one…
Back to top button