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Latest posts
Last updated 8 days ago
In-House LLM Serving at Netflix
8 days ago
By AI Platform’s Model Runtime team and Inference teamIntroductionMost organizations consume LLMs...
Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned
12 days ago
By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan FisherA...
GenPage: Towards End-to-End Generative Homepage Construction at Netflix
27 days ago
Authors: Lequn Wang, Jiangwei Pan, and Linas BaltrunasFigure 1. Autoregressive homepage generation...
Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix
about 1 month ago
By Zhuoning Yuan, Ta-Ying Cheng, Benjamin Klein, Bahareh AzarnoushIntroductionAt Netflix, we build...
Predicting Risk in Content Launches: How Data-Driven Insights can Transform Launch Planning
about 1 month ago
by Emily GillEach year, we bring the Analytics Engineering community together for...
The Data Canary: How Netflix Validates Catalog Metadata
about 1 month ago
By Celina AmadosAt Netflix, our catalog metadata is crucial to our member...
How Netflix Simplified Batch Compute with Kueue
about 1 month ago
By Alvin Bao, Alex Petrov, Jennifer Lai, Aidan Sherr, and Samartha ChandrashekarAs...
Data Projects: Managing Data Assets at Netflix Scale
3 months ago
By Amer Hesson, Marcelo Mayworm, James Mulcahy, and Brittany TruongThe Problem: Managing...
The Evolution of Cassandra Data Movement at Netflix
2 months ago
By Guil Pires, Jennifer Prince, Jose Camacho, Ken Kurzweil, Phanindra ChunduruBackgroundIn a...
Thinking Fast & Slow for a Personalized Notification System
about 2 months ago
by Matthew Wood, Ishan Gupta, Kevin Mercurio, Devon Bryant, and Claire DormanIn...
A Human-Augmenting Agentic Workflow for Causal Inference
about 2 months ago
By Winston Chou, Adrien Alexandre, Lars Olds, Yi Zhang, Garrett Hagemann, and...
VMAF v1: Good Is Not Good Enough
about 1 month ago
By Christos G. Bampis, Zhi Li, Kyle Swanson, Nil Fons Miret and...