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Adaptive Metrics , which is part of the Adaptive Telemetry suite, looks at how your metrics are actually used and recommends how much detail you should keep for each metric. This helps you cut costs while still retaining the data you actually need. Last year we added auto apply capabilities that let you implement…
Authors: Divya Gadde , Ko Jen Hsiao , Dhaval Patel and Moumita Bhattacharya The motivation for building the Netflix Foundation Model for personalization was laid out in this previous blog post. The Netflix homepage is powered by several specialized models and it requires significant time and resources to maintain and…
By Kevin Zielnicki, Guy Aridor, Aurélien Bibaut, Allen Tran, Winston Chou, and Nathan Kallus Introduction Personalization is everywhere on the internet. It shapes the products we discover, the stories we read, the music we hear, and the movies and TV shows we watch. At Netflix, personalization has been central to the…
By Emma Yanyang Kong , JJ Tan , Ishan Gupta , Lars Olds , Claire Campbell , David Fagnan , Ratna Kavuri , Rohan Gosain , Veli Balin , Minsu Jang , Louis Garcia Introduction Any team generating text with an LLM at scale hits the same problem. You cannot evaluate everything manually. You don't know which outputs are…
By Violetta Pidvolotska and Naveen Mareddy Stratum is Netflix’s internal serverless media processing platform, shaped by over a decade of experience developing large scale distributed systems. It powers a wide range of media workloads — including encoding, packaging, inspection, and quality scoring — behind playback,…
How we detect failing GPUs and network fabric, remediate machines automatically, and let long running jobs survive hardware loss. Authors: Nick Rutigliano , Argha C , Samartha Chandrashekar Open Netflix, and the home screen is assembled for you: which rows appear, the order they appear in, the titles within them, and…
Dive into how Uber’s Legal Team is leveraging Agentic AI to help lawyers review contracts faster, flag risks, and improve every negotiation.
Cloudflare Managed Defense uses a team of specialized AI agents built on Workers and global network telemetry to analyze security alerts. By separating deterministic evidence collection from model inference, the system delivers grounded recommendations to Managed Defense Analysts.
This post explores the FBTriton kernel design for Table Batched Embedding (TBE) forward and backward passes. These core operators handle embedding lookups across thousands of sharded GPUs within recommendation systems.... The post Modernizing Table Batched Embeddings with FBTriton appeared first on PyTorch .
Introducing the public preview of AWS Well Architected Agent, an AI powered service that analyzes your AWS environment to deliver targeted, contextual recommendations for improving your applications' cost, security, performance, and resilience—with ready to implement fixes aligned to your business goals.
As agents take on more purchases, agent builders have increasingly asked us to help agents navigate checkout and earn consumer trust. Today, we’re sharing three major improvements to support this broader set of needs.
Most users of Volar know it as the official Vue.js VSCode extension. It started as a personal project when the official recommendation was still Vetur, and over time got adopted as the new official extension due to improved architecture and performance. As a project created to improve the quality of life for…
