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Favorite Coding agents now build working web apps: a dashboard, a product page, a prototype that a product team wants to try. The fastest way to review that work is to open the app, use it, ask for a change, and check the result. That loop works well when the
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Shared by AWS Machine Learning October 30, 2026
Favorite NVIDIA Nemotron 3.5 Super VL joins the NVIDIA Nemotron 3 Nano, Nano Omni, Super, Ultra, and Nemotron 3.5 Lightning models already available on AWS. It’s a 120B-parameter mixture-of-experts (MoE) model that activates 12B parameters per token. It combines reasoning and tool use with text, image, document, and video understanding,
Read More Shared by AWS Machine Learning October 29, 2026
Favorite This post was co-written with Nikhil Kumar and Shakir Khan from MoEngage. When engineering teams start building AI agents, the capabilities those agents need usually already exist as internal APIs. Campaign creation, segment queries, delivery stats. The challenge isn’t building new functionality. The challenge is making hundreds of private
Read More Shared by AWS Machine Learning October 29, 2026
Favorite With the launch of AWS Batch support for Amazon SageMaker Training jobs, customers gained a new fully managed way to queue, schedule, and retry machine learning (ML) training workloads without building their own infrastructure. Instead, they use the queuing and scheduling features of AWS Batch. As organizations scale their
Read More Shared by AWS Machine Learning October 29, 2026
Favorite When your team moves a mature PHP application to Java, you gain stronger type safety, broader library support, and more predictable scaling. A PHP codebase built over the years with Laravel, Symfony, or Doctrine carries business rules in places that are not obvious, from Eloquent traits to XML mapping
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Favorite To scale intent-driven UI testing across its product teams, Epsilon, a data, technology, and marketing-services company and part of Publicis Groupe, turned to Amazon Nova Act. With hundreds of millions of consumer profiles and thousands of brand relationships, Epsilon needed UI testing that could keep pace with rapid application
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Favorite The Amazon Quick User Group – United Kingdom is a community of Amazon Quick users in the United Kingdom who meet quarterly to exchange knowledge, share best practices, learn through hands-on sessions, and discuss their experiences using the service. These user groups function as collaborative forums where members learn,
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Favorite As quality assurance (QA) automation adoption grows inside an organization, a new problem appears that has nothing to do with writing tests. A platform team stands up test automation, then a second team wants to join, then a dozen more. Soon hundreds of test cases belong to different products
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Favorite What usually stops PyTorch training from scaling out to a cluster is the container, not the model code. Every container needs the same CUDA runtime, a PyTorch build compiled against it, NCCL (NVIDIA Collective Communications Library), the Elastic Fabric Adapter (EFA) userspace libraries, the AWS OFI NCCL plugin that
Read More Shared by AWS Machine Learning October 28, 2026
Favorite If you’ve tried to get an agent into production, the model and tool use are not the blocker. The main bottleneck is everything around them: how many teams can build within a secure environment, which team owns each model and tool, how AgentOps and error handling stay inside a
Read More Shared by AWS Machine Learning October 28, 2026