How LinkedIn Uses PyTorch
7 engineering articles about PyTorch from LinkedIn's engineering team
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The article discusses JUDE, LinkedIn's platform for generating high-quality embeddings for job recommendations using fine-tuned Large Language Models (LLMs).
BERTEmbeddingHugging FaceKubernetesLarge Language ModelsMistralPyTorchTransfer LearningTransformerTransformers
Nikita Zhiltsov
13 min read
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The article discusses Liger-Kernel, an open-source library designed to enhance GPU efficiency for training large language models (LLMs).
Pin-Lun (Byron) Hsu
10 min read
Includes Code
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The article discusses the development and maintenance of LinkedIn's skills taxonomy, which underpins the Skills Graph.
LinkedIn Engineering Team
11 min read
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The article discusses TonY's integration into the LF AI & Data Foundation, highlighting its role in facilitating distributed deep learning on Hadoop.
Keqiu H.
4 min read
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The article discusses the Smart Argument Suite, a Python library designed to streamline the process of passing command-line arguments for AI workflows.
LinkedIn Engineering Team
8 min read
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Dagli is an open-source machine learning library designed for Java and other JVM languages, aimed at simplifying the creation of model pipelines while minimizing technical debt.
Jeff Pasternack
14 min read
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The article discusses a community meetup held at LinkedIn focused on Apache Hadoop, highlighting contributions from various organizations and key presentations on topics like TensorFlow on YARN, Ha...
Erik Krogen
10 min read
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