Reactive Machines

AWS Transform now automates BI migration to Amazon Quick in days

AWS Transform now automates BI migration to Amazon Quick in days

Migrating to Amazon Quick doesn’t have to mean starting from scratch. Your dashboards encode hard-won domain knowledge: calculated fields your…
The Reinforced Agent: Hypothetical Time Response of Instrumental Agents

The Reinforced Agent: Hypothetical Time Response of Instrumental Agents

This paper was accepted at the Fifth Workshop on Natural Language Generation, Evaluation, and Metrics at ACL 2026. Agents calling…
Reinforcement fine-tuning with LLM-as-a-judge | Artificial Intelligence

Reinforcement fine-tuning with LLM-as-a-judge | Artificial Intelligence

Large language models (LLMs) now drive the most advanced conversational agents, creative tools, and decision-support systems. However, their raw output…
AWS Generative AI Model Agility Solution: A comprehensive guide to migrating LLMs for generative AI production

AWS Generative AI Model Agility Solution: A comprehensive guide to migrating LLMs for generative AI production

Maintaining model agility is crucial for organizations to adapt to technological advancements and optimize their artificial intelligence (AI) solutions. Whether…
Bootstrapping Sign Language Annotations with Sign Language Models

Bootstrapping Sign Language Annotations with Sign Language Models

AI-powered sign language interpretation is limited by the lack of high-quality annotation data. New datasets including the ASL STEM Wiki…
Extracting contract insights with PwC’s AI-driven annotation on AWS

Extracting contract insights with PwC’s AI-driven annotation on AWS

This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from PwC. Contract analysis often consumes…
Organizing Agents’ memory at scale: Namespace design patterns in AgentCore Memory

Organizing Agents’ memory at scale: Namespace design patterns in AgentCore Memory

When building AI agents, developers struggle with organizing memory across sessions, which leads to irrelevant context retrieval and security vulnerabilities.…
Compression of LSTM models for Retail Edge deployments

Compression of LSTM models for Retail Edge deployments

There can be practical issues when it comes to deploying AI models in retail environments. Retail environments can include store-level…
Building AI-ready data: Vanguard’s Virtual Analyst journey

Building AI-ready data: Vanguard’s Virtual Analyst journey

Vanguard is a global investment management firm, offering a broad selection of investments, advice, retirement services, and insights to individual…
Dynamic Thinking: Large Language Models Know Time to Think in Subtle Space

Dynamic Thinking: Large Language Models Know Time to Think in Subtle Space

Recent advances in large-scale linguistic models (LLMs) during computer-based assessment have introduced the ability to perform intermediate chain-of-thought (CoT) reasoning…
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