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AI AWS

Overcoming reward signal challenges: Verifiable rewards-based reinforcement learning with GRPO on SageMaker AI

Training large language models requires accurate feedback signals, but traditional reinforcement learning (RL) often struggles with reward...

Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI

Seismic data analysis is an essential component of energy exploration, but configuring complex processing workflows has traditionally...

Secure short-term GPU capacity for ML workloads with EC2 Capacity Blocks for ML and SageMaker training plans

As companies of various sizes adopt graphic processing units (GPU)-based machine learning...

Streamlining generative AI development with MLflow v3.10 on Amazon SageMaker AI

Today, we’re excited to announce that Amazon SageMaker AI MLflow Apps now...

Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Tomofun, the Taiwan-headquartered pet-tech startup behind the Furbo Pet Camera, is redefining...

How Hapag-Lloyd uses Amazon Bedrock to transform customer feedback into actionable insights

Hapag-Lloyd stands as one of the world’s leading liner shipping companies, operating...

Introducing the agent quality loop: AgentCore Optimization now in preview

Generate recommendations from production traces, validate them with batch evaluation and A/B...

Beyond BI: How the Dataset Q&A feature of Amazon Quick powers the next generation of data decisions

Business leaders across industries rely on operational dashboards as the shared source...