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Latest posts

Last updated 2 days ago

Optimizing Recommendation Systems with JDK’s Vector API

2 days ago

By Harshad SaneRanker is one of the largest and most complex services...

Mount Mayhem at Netflix: Scaling Containers on Modern CPUs

4 days ago

Authors: Harshad Sane, Andrew HalaneyImagine this — you click play on Netflix...

MediaFM: The Multimodal AI Foundation for Media Understanding at Netflix

10 days ago

Avneesh Saluja, Santiago Castro, Bowei Yan, Ashish RastogiIntroductionNetflix’s core mission is to...

Scaling LLM Post-Training at Netflix

20 days ago

Baolin Li, Lingyi Liu, Binh Tang, Shaojing LiIntroductionPre-training gives Large Language Models...

Automating RDS Postgres to Aurora Postgres Migration

21 days ago

Ram Srivasta Kannan, Wale Akintayo, Jay Bharadwaj, John Crimmins, Shengwei Wang, Zhitaou...

The AI Evolution of Graph Search at Netflix

about 1 month ago

The AI Evolution of Graph Search at Netflix: From Structured Queries to...

How Temporal Powers Reliable Cloud Operations at Netflix

3 months ago

By Jacob Meyers and Rob ZienertTemporal is a Durable Execution platform which...

Netflix Live Origin

3 months ago

Xiaomei Liu, Joseph Lynch, Chris NewtonIntroductionBehind the Streams: Building a Reliable Cloud...

AV1 — Now Powering 30% of Netflix Streaming

3 months ago

AV1 — Now Powering 30% of Netflix StreamingLiwei Guo, Zhi Li, Sheldon...

Supercharging the ML and AI Development Experience at Netflix

4 months ago

Supercharging the ML and AI Development Experience at Netflix with MetaflowShashank Srikanth...

Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning

4 months ago

Author: Keertana Chidambaram, Qiuling Xu, Ko-Jen Hsiao, Moumita Bhattacharya(*The work was done...

Behind the Streams: Real-Time Recommendations for Live Events

5 months ago

By: Kris Range, Ankush Gulati, Jim Isaacs, Jennifer Shin, Jeremy Kelly, Jason...