Category: FAANG

GS Caltex uses Amazon SageMaker Canvas and Amazon SageMaker Pipelines to connect process engineers’ models to production workflows. The South Korean energy and chemical company divides model development and operations between engineers with complementary skills. Process engineers build and validate models in SageMaker Canvas without writing code, drawing on their process knowledge. Machine learning (ML) …

Read more “Production MLOps at GS Caltex with Amazon SageMaker Canvas, part 1”

As enterprises move AI agents from experimental prototypes into production, data and platform teams are discovering that deploying an agent is only half the battle — you also need to see how it reasons, which data it touches, and what it costs to run. Today, we are announcing expanded AI agent observability and evaluation capabilities …

Read more “New AI agent observability and governance across BigQuery and Looker”

Today, Amazon announced that SGLang-Neuron is publicly available and can be accessed through an AWS Deep Learning Container, released by RadixArk in collaboration with Annapurna Labs. With SGLang-Neuron, you can serve models and generate reinforcement learning (RL) rollouts with SGLang on AWS Trainium using the same SGLang interface you use today. Trainium is a portfolio …

Read more “Deploy frontier AI models on AWS Trainium with SGLang-Neuron”

Java teams have established JVM tooling, continuous integration and continuous delivery (CI/CD) pipelines, and operational patterns, yet taking AI agents from prototype to production is hard: agent frameworks do not solve scalability, governance, security, and operational concerns by default. Amazon Bedrock and Spring AI close those gaps, so Java teams can build autonomous AI agents …

Read more “Build autonomous AI agents with Amazon Bedrock and Spring AI”

Kimi K3.1 Pro Highspeed from Moonshot AI is now available on Amazon Bedrock. Part of Moonshot AI’s new K3.1 series, it’s a post-trained version of Kimi K3 with the same 3T-class open-weight architecture and 1-million-token context window, trained with substantially more post-training compute. According to Moonshot AI, that extra training targets long-horizon agentic work and …

Read more “Introducing Kimi K3.1 Pro on Amazon Bedrock”

By Shreya S Ramanujam, Yongce Li, Afshine Amidi, Sina Ghiassian, Benjamin Klein. Introduction Picture this — you’re home after a long day at work and can’t wait to catch up on Bridgerton. You log on to Netflix, search for “Bridgerton” and land on this screen: If this sounds familiar, you already know what a synopsis is — it’s a short glimpse …

Read more “Fact-Checking at Scale: Building a More Accurate and Efficient Synopsis Factuality System”