How Uber Uses Artificial Intelligence

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).

The article discusses the implementation of Two-Tower Embeddings (TTE) at Uber, highlighting its role in enhancing the efficiency and scalability of recommendation systems.

The article provides a comprehensive overview of the highlights from the Uber Engineering Blog in 2019, showcasing significant advancements and contributions in various technical domains such as ma...

In 2019, Uber AI advanced its mobility services through innovative applications of artificial intelligence across various domains, including computer vision, natural language processing, and deep l...

The article discusses how Uber leverages advanced research in artificial intelligence (AI) to enhance transportation solutions.

The article discusses how Uber leverages advanced research to tackle real-world challenges through machine learning.

The article discusses how Uber leverages advanced research and innovative technologies to solve real-world problems, particularly at the intersection of digital and physical worlds.

The article discusses how Uber leverages data science to address real-world challenges, showcasing the application of advanced research in practical scenarios.

The article discusses how Uber leverages advanced research in artificial intelligence (AI) to address real-world challenges.

The article discusses how Uber leverages advanced research in data science, artificial intelligence, and machine learning to enhance its ridesharing technologies through mapping.

The article discusses how Uber leverages advanced research in data science, artificial intelligence, and machine learning to address real-world challenges.

The article discusses Uber's approach to building a data science platform that empowers employees to leverage data science, AI, and machine learning in their daily operations.

This article discusses the application of mediation modeling at Uber to understand the underlying mechanisms behind product changes and their impact on user behavior.

The article discusses the inaugural Uber Technology Day held on March 10, 2017, in Palo Alto, which showcased various engineering challenges and innovations at Uber.