If you’re running Amazon Nova 1 models on Amazon Bedrock, you might be looking to expand your context window size, deepen reasoning capabilities, or integrate external tools for web search and code execution. Amazon Nova 2 models address these...
This post is cowritten with Hammad Mian and Joonas Kukkonen from Bark.com.
When scaling video content creation, many companies face the challenge of maintaining quality while reducing production time. This post demonstrates how Bark.com and AWS collaborated to solve this...
This post is co-written with Mark Ross from Atos.
Organizations pursuing AI transformation can face a familiar challenge: how to upskill their workforce at scale in a way that changes how teams build, deploy, and use AI. Traditional AI training...
AI is moving fast, and for most of our customers, the real opportunity isn’t in experimenting with it—it’s in running AI in production where it drives meaningful business outcomes. This means building systems that run reliably, perform at scale,...
This is Part II of a two-part series from the AWS Generative AI Innovation Center. If you missed Part I, refer to Operationalizing Agentic AI Part 1: A Stakeholder’s Guide.
The biggest barrier to agentic AI isn’t the technology—it’s the...
We thank Greg Pereira and Robert Shaw from the llm-d team for their support in bringing llm-d to AWS.
In the agentic and reasoning era, large language models (LLMs) generate 10x more tokens and compute through complex reasoning chains compared...
