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Beyond Two Towers: Launching the 3-Tower Engagement Co-Train Model (Part 2)

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10 min read
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Evolving Pinterest’s Embedding Retrieval Platform

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6 min read
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Building Pinterest’s VLM Serving Stack on NVIDIA Dynamo

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15 min read
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Becoming an AI Team

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10 min read
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Scaling Conditional Learned Retrieval for Pinterest Home Feed

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10 min read
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Pinner Progression: Better Use-Case Representation Driving Weekly Active User Growth at Pinterest

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Securing Infrastructure at Scale: Introducing Pinterest’s Resource Provisioner Pipeline (RPP)

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Achieving Near-Linear Training Scalability for Pinterest’s Foundation Models

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Automated Schema Evolution in Pinterest’s Next-Generation DB Ingestion Framework

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Making User-Sequence Data More Cost-Efficient, Faster, and Easier to Use

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An Engineer’s Guide to Better AI Skills: Implementing a Testing Process to Optimize Agent…

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Enhancing Ad Relevance: Integrating Real-Time Context into Sequential Recommender Models

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5 min read
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Optimizing ML Workload Network Efficiency (Part I): Feature Trimmer

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15 min read
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From Clicks to Conversions: Architecting Shopping Conversion Candidate Generation at Pinterest

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7 min read
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Smarter URL Normalization at Scale: How MIQPS Powers Content Deduplication at Pinterest

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Finding zombies in our systems: A real-world story of CPU bottlenecks

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Scaling Recommendation Systems with Request-Level Deduplication

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Performance for Everyone

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Evolution of Multi-Objective Optimization at Pinterest Home feed

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Zero-Downtime PyTorch Upgrade in Production: Approaches, Pitfalls and Lessons

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