How Uber Uses Prompt Engineering
4 engineering articles about Prompt Engineering from Uber's engineering team
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PerfInsights is a performance optimization tool developed by Uber that leverages Generative AI to automatically detect performance antipatterns in Go services.
Lavanya Verma, Ryan Hang, Sung Whang, Joseph Wang
10 min read
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The article discusses FixrLeak, a generative AI-based framework developed by Uber to automate the detection and repair of resource leaks in Java applications.
Chris Zhang, Akshay Utture, Manu Sridharan
7 min read
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The article introduces the Prompt Engineering Toolkit developed by Uber, which aims to streamline the process of creating and managing prompts for Large Language Models (LLMs).
Artificial IntelligenceChain of ThoughtLangChainLarge Language ModelsMachine LearningPrompt Engineering
Sishi Long, Hwamin Kim, Manoj Sureddi
12 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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