- Scaling Managed Agents with stable interfaces
Harnesses encode assumptions that go stale as models improve. See how Managed Agents is built around interfaces that stay stable as harnesses change.
- An updated Model Spec for more capable and beneficial AI
OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent.
- Lend and borrow resources across teams with AWS Batch’s quota management for SageMaker Training jobs
AWS Batch quota management is a new scheduling capability you can use to divide GPU capacity into quota shares per team or project, automatically lend idle capacity across shares, and use preemption to run your highest-priority SageMaker Training jobs first, all without manual…
- How MoEngage turned over 400 APIs into agent tools with AgentCore Gateway
MoEngage turned roughly 400 private REST APIs across 7 AWS Regions into permission-scoped agent tools with Amazon Bedrock AgentCore Gateway. No per-service MCP servers, no public endpoints, and no 400-tool context bloat. See how OpenAPI specs, Cedar policies, and managed Amazo…
- Speeding up language models for travel applications
Two optimization techniques, when combined, can significantly improve a model’s speed and cost effectiveness without sacrificing quality.
- ChatGPT Enterprise at Zendesk: Putting Company Data to Work
“We have about 600 applications that have been built by different people in the company.” At Zendesk, teams across sales, marketing, and operations are building applications for their own work. ChatGPT Enterprise is available to every employee, and business users are asking qu…
- Accelerate agentic AI with NVIDIA Nemotron models on Amazon EKS and SageMaker HyperPod EKS
NVIDIA Nemotron 3.5 Super VL is a 120B-parameter mixture-of-experts model that pairs reasoning and tool use with multimodal understanding. This post explores its architecture and use cases, then shows how to deploy it on Amazon EKS, EKS Auto Mode, and Amazon SageMaker HyperPod…
- Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building a…
- Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale
Over the last year we’ve been sharing our work leveraging large language models to catch bugs on the fly — a novel approach we call Catching Just-in-Time Tests (JiTTests). Now, we’re sharing the results and positive impact we’ve seen with Catching JiTTests deployed into produc…
- Can Frontier Models See Past a Decoy? Elorian Tests Visual Reasoning
A new decoy counting benchmark exposes a gap between seeing and reasoning. Elorian’s Glimpse tries to bridge it by thinking with images.
- Unlocking Tensor Core Performance for Machine Learning Interatomic Potentials
Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and phase transitions to mechanical failure. These... Atomistic simulations help researchers understand how molecules and materials behave, from chemical reactions and…
- Smarter cost controls for serverless
At Databricks, our serverless compute usage has grown more than 3x in the past year,...
- How Zurich is shaping the future of algorithms, 70 years in
As IBM's Zurich Lab turns 70, director Alessandro Curioni speaks about the celebrations, his work on Algorithms & Applications, and his vision for the future.
- Granite Switch 4.1.1 — Update models like you update software
- Slice Into GFN Thursday: ‘Phantom Blade Zero’ Launches on GeForce NOW
This Halloween week, GFN Thursday is delivering a fresh batch of gaming treats. Something wicked this blade comes. S-GAME’s Phantom Blade Zero launches on GeForce NOW today, bringing a scarily good blend of martial arts and punk fantasy to the cloud. There’s also something on …
- Le Chonk: Built for Coders, Trusted by Defenders.
The weights of Mistral Large 4 (Le Chonk) are now open. A 1T parameter multimodal model, and best open-weight model for coding, trained in Europe.