Authors: Ying Li, Arjun Rao, Shradha SehgalIntroductionRecommendations sit at the heart of the Netflix experience. Our current production models rely on thousands of hand‑crafted features over users, items, and interactions, along with specialized architectures for sequence modeling, feature interactions, and multi‑task objectives. This stack has evolved over many years to support diverse content types (movies, series, games, live, podcasts) and product surfaces, but its complexity makes it costly to onboard new use cases: adding a content type or surface can require significant feature…
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Authors: Lequn Wang, Jiangwei Pan, and Linas BaltrunasFigure 1. Autoregressive homepage generation. GenPage builds a Netflix homepage one row or entity at a time, each one conditioned on what’s already on the page and the user’s context.IntroductionThe Netflix homepage is the first thing users see when they open the app and the primary way they discover content to enjoy. Almost every part of it is personalized, including which rows appear, which entities show up within those rows, and how everything is arranged on the page.Constructing that homepage is a genuinely hard problem. It is not…
Key Contributors: Moein Hasani, Hamidreza Shahidi, Trace Levinson, Guanghua ShuIntroductionAt Instacart, we are laser-focused on improving the user experience by making shopping feel easy, engaging, and personalized. Our discovery surfaces play a central role in bringing this to life. Alongside explicit Search intents, discovery is our opportunity to meet customers’ implicit needs, presenting them with the most relevant and inspiring content we have to offer. The main discovery surface within the Instacart app, referred to here as the “Shopping Hub”, is one of the most critical in this…
Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related TasksWhen we need to visualize and interact with millions, or even just thousands, of individual points while analyzing data, we typically resort to rendering them in the browser using a canvas. The other common approach for the web, SVG, doesn’t scale when the number of individual elements increases to such quantities. However, while solving one problem, canvas charts introduce a new challenge: accessibility.Although SVG charts are not accessible by default, they can be by design. Each part of…
By Jean V. Alves and Ferran Pla FernándezMoving beyond binary classification provides novel insights.In the real world, scams rarely present themselves in black and white. Fraudsters exploit nuance, impersonate legitimate brands, and mask malicious intent with seemingly ordinary behavior. That’s why Feedzai has launched ScamAlert (patent pending), a Generative AI-based system innovating on the current paradigm of scam prevention, in response to this growing challenge.Traditional detection systems treat the problem as a binary choice: scam or not a scam, often outputting an estimated “scam…
This is the story of Kumru, a 7.4B parameter Turkish LLM pre-trained and developed from scratch by VNGRS.Believing that Türkiye needs a foundational LLM model that can be deployed in-house, given the considerations for security, compliance and excellence in the Turkish language, we decided to build a light-weight, zero-shot 7B parameter LLM that can be deployed on even consumer-grade GPUs.Now, we are thrilled to announce the first public version of Kumru LLM!Try it out at the demo here: https://kumru.ai/In addition to this foundation model, we will provide commercial support and tailored…
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