Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI
The EU AI Act requires organizations fine-tuning large language models (LLMs) to […]
Read moreCategory: Machine learning
Automate schema generation for intelligent document processing
Before you can extract information from documents using intelligent document processing (IDP) […]
Read more
Building web search-enabled agents with Strands and Exa
This post is co written by Ishan Goswami and Nitya Sridhar from […]
Read more
Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account
Today, we’re excited to announce the general availability of Claude Platform on […]
Read more
How Miro uses Amazon Bedrock to boost software bug routing accuracy and improve time-to-resolution from days to hours
This post is co-authored with Philipp Pavlov, Dmytro Romantsov, Evgeny Mironenko, and […]
Read more
Manufacturing intelligence with Amazon Nova Multimodal Embeddings
If you work in aerospace, automotive, or heavy industry manufacturing, your organization […]
Read more
Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions
Enterprise data with tens of millions of rows, row-level and column-level security, […]
Read more
Halliburton enhances seismic workflow creation with Amazon Bedrock and Generative AI
Seismic data analysis is an essential component of energy exploration, but configuring […]
Read more
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 […]
Read more
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 […]
Read more