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Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts

This paper was accepted at the Workshop on Navigating and Addressing Data Problems for Foundation Models at ICLR 2026. Large…

2 months ago

How to build effective reward functions with AWS Lambda for Amazon Nova model customization

Building effective reward functions can help you customize Amazon Nova models to your specific needs, with AWS Lambda providing the…

2 months ago

How to find the sweet spot between cost and performance

At Google Cloud, we often see customers asking themselves: "How can we manage our generative AI costs effectively without sacrificing…

2 months ago

Evaluating Netflix Show Synopses with LLM-as-a-Judge

by Gabriela Alessio, Cameron Taylor, and Cameron R. WolfeIntroductionWhen members log into Netflix, one of the hardest choices is what to…

2 months ago

How SAP Concur automates expense reporting with agentic AI

For decades, expense automation relied on a simple premise: If the machine can read the text, it can do the…

2 months ago

A Theoretical Framework for Acoustic Neighbor Embeddings

This paper provides a theoretical framework for interpreting acoustic neighbor embeddings, which are representations of the phonetic content of variable-width…

2 months ago

Understanding Amazon Bedrock model lifecycle

Amazon Bedrock regularly releases new foundation model (FM) versions with better capabilities, accuracy, and safety. Understanding the model lifecycle is…

2 months ago

Guardrails at the gateway: Securing AI inference on GKE with Model Armor

Enterprises are rapidly moving AI workloads from experimentation to production on Google Kubernetes Engine (GKE), using its scalability to serve…

2 months ago

Governance-Aware Agent Telemetry for Closed-Loop Enforcement in Multi-Agent AI Systems

Enterprise multi-agent AI systems produce thousands of inter-agent interactions per hour, yet existing observability tools capture these dependencies without enforcing…

2 months ago