SageMaker

An AI agent can sound convincing and still fail at the job it was hired to do. Teaching it to…

Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI | Amazon Web Services

A customer asks an AI voice agent a question and waits. The agent already has an answer, it’s midway through…

Fine-tuning a large language model (LLM) today usually forces a tradeoff between training loop control and operational simplicity. With fully…

Companies getting real results from AI aren’t only using foundation models (FMs) off the shelf. They’re customizing open-weight models using…

A traffic spike hits your self-hosted text-to-speech (TTS) endpoint, and requests start queueing. Latency climbs past your service level objective…

Today, we’re excited to announce that new Amazon SageMaker AI customers can now land inside a fully configured Amazon SageMaker…

Amazon SageMaker JumpStart is a machine learning (ML) hub within Amazon SageMaker AI that provides access to a curated catalog…

Applications that route requests, select agent actions, or assign policy outcomes often need scores over a fixed set of choices…

Multiple teams within the same company increasingly need shared access to expensive GPU clusters for their generative AI operations, while…

We recently introduced the ability to create and manage Amazon SageMaker Spaces on Amazon SageMaker HyperPod EKS clusters directly from…