Category Added in a WPeMatico Campaign
Baolin Li, Lingyi Liu, Binh Tang, Shaojing Li Introduction Pre-training gives Large Language Models (LLMs) broad linguistic ability and general world knowledge, but post-training is the phase that actually aligns them to concrete intents, domain constraints, and the reliability requirements of production environments. At Netflix, we are exploring how LLMs can enable new member experiences across …
AI agents that browse the web need more than basic page navigation. Our customers tell us they need agents that maintain session state across interactions, route traffic through corporate proxy infrastructure, and run with custom browser configurations. AgentCore Browser provides a secure, isolated browser environment for your agents to interact with web applications. Until now, …
Large language model (LLM)-based computer use agents execute user commands by interacting with available UI elements, but little is known about how users want to interact with these agents or what design factors matter for their user experience (UX). We conducted a two-phase study to map the UX design space for computer use agents. In …
Read more “Mapping the Design Space of User Experience for Computer Use Agents”
Introducing PFCS Forward: Extending IL5/IL6 Authorization from Cloud to Edge Integrated systems that solve meaningful problems for commanders and their warfighting requirements are essential, according to Lieutenant General Paul T. Stanton, Director of DISA and Commander of DoD Cyber Defense Command, at DISA’s Forecast to Industry 2025 (December 8, 2025) Hardware-Agnostic Accreditation Brings IL5 and IL6 Authorization …
Ram Srivasta Kannan, Wale Akintayo, Jay Bharadwaj, John Crimmins, Shengwei Wang, Zhitao Zhu Introduction In 2024, the Online Data Stores team at Netflix conducted a comprehensive review of the relational database technologies used across the company. This evaluation examined functionality, performance, and total cost of ownership across our database ecosystem. Based on this analysis, we decided …
Read more “Automating RDS Postgres to Aurora Postgres Migration”
Organizations face significant challenges in making their recruitment processes more efficient while maintaining fair hiring practices. By using AI to transform their recruitment and talent acquisition processes, organizations can overcome these challenges. AWS offers a suite of AI services that can be used to significantly enhance the efficiency, effectiveness, and fairness of hiring practices. With …
Read more “AI meets HR: Transforming talent acquisition with Amazon Bedrock”
Today we’re excited to announce that the NVIDIA Nemotron 3 Nano 30B model with 3B active parameters is now generally available in the Amazon SageMaker JumpStart model catalog. You can accelerate innovation and deliver tangible business value with Nemotron 3 Nano on Amazon Web Services (AWS) without having to manage model deployment complexities. You can …
Read more “NVIDIA Nemotron 3 Nano 30B MoE model is now available in Amazon SageMaker JumpStart”
In the financial sector, resilience isn’t optional. Recent cloud outages have shown us exactly how fast critical data can disappear. The risk is amplified by major regulatory drivers like the Digital Operational Resilience Act (DORA), which mandates that financial institutions are ready for any disruption. The recent designation of Google Cloud as a Critical Third-Party …
Read more “Build financial resilience with AI-powered tabletop exercises on Google Cloud”
Efficient large-scale inference of transformer-based large language models (LLMs) remains a fundamental systems challenge, frequently requiring multi-GPU parallelism to meet stringent latency and throughput targets. Conventional tensor parallelism decomposes matrix operations across devices but introduces substantial inter-GPU synchronization, leading to communication bottlenecks and degraded scalability. We propose the Parallel Track (PT) Transformer, a novel architectural …
Read more “Parallel Track Transformers: Enabling Fast GPU Inference with Reduced Synchronization”
Amazon is a global ecommerce and technology company that operates a vast network of fulfillment centers to store, process, and ship products to customers worldwide. The Amazon Global Engineering Services (GES) team is responsible for facilitating operational readiness across the company’s rapidly expanding network of fulfillment centers. When launching new fulfillment centers, Amazon must verify …