How Pinterest Uses PyTorch
13 engineering articles about PyTorch from Pinterest's engineering team
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This article discusses the re-architecture of the serving stack for next-generation ads lightweight ranking models at Pinterest, moving from a traditional Two-Tower architecture to a more complex G...
Pinterest Engineering
11 min read
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The article reflects on a decade of AI platform development at Pinterest, detailing the evolution from fragmented machine learning stacks to a unified AI platform that supports various models.
AutoMLDockerEmbeddingGenerative AIJavaKubernetesLightGBMPySparkPythonPyTorchSeedSQLTensorFlowThriftTransformer
Pinterest Engineering
22 min read
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The article discusses Pinterest's transition to Moka, a next-generation data processing platform built on AWS Elastic Kubernetes Service (EKS).
Pinterest Engineering
16 min read
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The article discusses how Pinterest scaled its machine learning infrastructure using Ray, extending its capabilities beyond training to include feature development, sampling, and labeling.
This article discusses the implementation of Ray Batch Inference at Pinterest, highlighting its advantages over previous solutions like Apache Spark and Torch Dataloader.
Pinterest Engineering
11 min read
Includes Code
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The article discusses the integration of Ray infrastructure at Pinterest, detailing the journey, challenges, and solutions implemented to optimize machine learning workflows.
Pinterest Engineering
16 min read
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The article discusses the evolution of ads conversion optimization models at Pinterest, highlighting the transition from Gradient Boosted Decision Trees (GBDT) to advanced Deep Neural Networks (DNN...
Pinterest Engineering
12 min read
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The article discusses how Pinterest improved its machine learning (ML) dataset iteration speed using Ray, an open-source framework for scaling AI and ML workloads.
Pinterest Engineering
9 min read
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The article discusses MLEnv, Pinterest's standardized ML engine that has significantly improved machine learning (ML) development and innovation within the company.
Pinterest Engineering
12 min read
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The article discusses SearchSage, a search query representation model developed by Pinterest to enhance the relevance of search results and user engagement.
Pinterest Engineering
14 min read
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The article discusses SearchSage, a search query representation developed at Pinterest to enhance search retrieval and ranking.
Computer VisionEmbeddingModalNatural Language ProcessingPythonPyTorchTensorFlowTransformerTransformers
Pinterest Engineering
11 min read
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The article discusses Pinterest's development of a visual skin tone model aimed at enhancing inclusivity in search and recommendation systems.
The article discusses the evolution and unification of visual embeddings at Pinterest to enhance visual search capabilities.
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