Build an offline feature store using Amazon SageMaker Unified Studio and SageMaker Catalog
Building and managing machine learning (ML) features at scale is one of […]
Read moreCategory: Machine learning
How Workhuman built multi-tenant self-service reporting using Amazon Quick Sight embedded dashboards
This post is cowritten with Ilija Subanovic and Michael Rice from Workhuman. […]
Read more
P-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM
EAGLE is the state-of-the-art method for speculative decoding in large language model […]
Read more
Secure AI agents with Policy in Amazon Bedrock AgentCore
Deploying AI agents safely in regulated industries is challenging. Without proper boundaries, […]
Read more
Improve operational visibility for inference workloads on Amazon Bedrock with new CloudWatch metrics for TTFT and Estimated Quota Consumption
As organizations scale their generative AI workloads on Amazon Bedrock, operational visibility […]
Read more
Fine-tuning NVIDIA Nemotron Speech ASR on Amazon EC2 for domain adaptation
This post is a collaboration between AWS, NVIDIA and Heidi. Automatic speech […]
Read more
Multimodal embeddings at scale: AI data lake for media and entertainment workloads
This post shows you how to build a scalable multimodal video search […]
Read more
Operationalizing Agentic AI Part 1: A Stakeholder’s Guide
Agentic AI isn’t a feature you turn on. It’s a shift in […]
Read more
Accelerate custom LLM deployment: Fine-tune with Oumi and deploy to Amazon Bedrock
This post is cowritten by David Stewart and Matthew Persons from Oumi. […]
Read more
Access Anthropic Claude models in India on Amazon Bedrock with Global cross-Region inference
The adoption and implementation of generative AI inference has increased with organizations […]
Read more