How LinkedIn Uses TensorFlow

The article discusses Liger-Kernel, an open-source library designed to enhance GPU efficiency for training large language models (LLMs).

The article discusses the open-sourcing of AvroTensorDataset, a TensorFlow dataset designed for efficiently processing Avro data.

The article discusses the development and maintenance of LinkedIn's skills taxonomy, which underpins the Skills Graph.

The article discusses DARWIN, LinkedIn's unified Data Science and Artificial Intelligence Workbench, designed to streamline the workflows of data scientists and AI engineers by centralizing various...

The article discusses TonY's integration into the LF AI & Data Foundation, highlighting its role in facilitating distributed deep learning on Hadoop.

The article discusses the implementation of multi-task learning for homepage feed ranking at LinkedIn using TensorFlow.

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.

GDMix is a deep ranking personalization framework developed by LinkedIn to enhance the efficiency of training large-scale personalization models.

DeText is an open-source deep NLP framework designed for intelligent text understanding, enhancing search and recommendation systems.

This article delves into the AI mechanisms behind course recommendations on LinkedIn Learning, focusing on the Deep Neural Network-based Collaborative Filtering approach and the Response Prediction...

The article discusses Spark-TFRecord, a new data source for Apache Spark that aims to provide full support for the TFRecord data format used in TensorFlow.

The article discusses the 'skills genome methodology' developed by LinkedIn to identify unique skills associated with emerging jobs, which are rapidly growing but may lack a large workforce.

Avro2TF is an open-source feature transformation engine designed to facilitate the conversion of data into a format compatible with TensorFlow.

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...

The article discusses LinkedIn's initiative to scale machine learning productivity through the Pro-ML program, which aims to enhance the effectiveness of machine learning engineers and democratize ...

The article provides an introduction to the role of artificial intelligence (AI) at LinkedIn, detailing how it is integrated into various products and services to enhance user experience and operat...

The article discusses the open sourcing of TonY, a framework designed to enable native support for TensorFlow on Hadoop.

The article discusses the integration of LinkedIn's Universal Content Filtering (UCF) platform with Microsoft's Content Moderator service to enhance the detection of inappropriate content on Linked...

The article discusses strategies for maintaining the relevance of the LinkedIn feed by filtering out unprofessional and spammy content.

BayLearn 2016 is an annual gathering that connects machine learning researchers and industry practitioners in the San Francisco Bay Area.