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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. We accomplish this by paving the path to: Accessing and processing media data (e.g. We accomplish this by paving the path to: Accessing and processing media data (e.g.

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Building a Media Understanding Platform for ML Innovations

The Netflix TechBlog

By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. Media Search Platform (MSP) is the initiative to address these requirements. Media Search Platform (MSP) is the initiative to address these requirements.

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New Series: Creating Media with Machine Learning

The Netflix TechBlog

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from

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Gossip Protocol in Social Media Networks: Instagram and Beyond

DZone

This article will discuss the gossip protocol in detail, followed by its potential implementation in social media networks, including Instagram. It is inspired by the way people gossip, where information spreads through a series of casual conversations. We will also include code snippets to provide a deeper technical understanding.

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Production Media Management: Transforming Media Workflows by leveraging the Cloud

The Netflix TechBlog

In this post, we will share a behind-the-scenes look at how Netflix delivers technology and infrastructure to help production crews create and exchange media during production and post production stages. Lights, Camera, Media! Now that we understand what media workflows are, let’s take a look at some of the workflows we’ve enabled.

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Introducing Distill CLI: An efficient, Rust-powered tool for media summarization

All Things Distributed

An open-source tool written in Rust for summarizing meetings and other media that uses AWS services, such as S3, Transcribe, and Bedrock. After a few code reviews from Rustaceans at Amazon and a bit of polishing, I'm ready to share the Distill CLI.

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Critical CSS? Not So Fast!

CSS Wizardry

When you use the media -switching pattern 5 to fetch a CSS file asynchronously, all you’re doing is making the network time asynchronous—the runtime is still always a synchronous operation, and we need to be careful not to inadvertently reintroduce that overhead back onto the Critical Path. By switching from an asynchronous media type (i.e.

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