How Uber Uses Hugging Face
5 engineering articles about Hugging Face from Uber's engineering team
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The article discusses the evolution and scaling of Uber's Delivery Search Platform, emphasizing the transition from traditional lexical search to a semantic search model that enhances user experien...
Divya Nagar, Zheng Liu, Jiasen Xu, Bo Ling, Haoyang Chen
11 min read
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The article discusses how Uber optimizes the training of Large Language Models (LLMs) using both open-source and in-house models.
ApacheApache KafkaApache SparkCometDockerGoogle CloudGPTGPT-4Hugging FaceKubernetesMistralPyTorchSQLTransformers
Bo Ling, Jiapei Huang, Baojun Liu, Chongxiao Cao, Anant Vyas, Peng Zhang
11 min read
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The article discusses Uber's evolution in machine learning (ML) through its centralized platform, Michelangelo, highlighting its transition from predictive to generative AI.
ApacheApache SparkAutoMLDeep LearningDockerGenerative AIHugging FaceKerasKubernetesPaLMPrompt EngineeringPyTorchTensorFlowXGBoost
Kai Wang, Min Cai, Joseph Wang, Eric Chen
28 min read
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Ludwig version 0. 3 introduces significant enhancements, including hyperparameter optimization, support for Transformers, and integration with TensorFlow 2.
Kerri Brown, Piero Molino, Yaroslav Dudin
10 min read
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The article discusses the Plug and Play Language Model (PPLM), a novel approach to controlled text generation that allows users to steer large, pre-trained language models without the need for retr...
Rosanne Liu, Sumanth Dathathri, Andrea Madotto, Piero Molino, Jason Yosinski
19 min read
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