Uber

AI-driven mobile testing system using large language models.

Extends Michelangelo for end-to-end LLMOps and prompt engineering.

Anonymizes sensitive information in requests for enhanced security.

Unified platform for accessing LLMs from multiple vendors.

Enhances neural network training with loss change allocation.

Open source Python package for AI unit testing.

Powers food recommendations using graph learning techniques.

Controls text generation using advanced AI language models.

Measures model performance at Uber-scale using AI techniques.

Open-source deep learning toolbox with new integrations.

Open-source platform for building conversational AI agents.

Optimization tool reducing ML model tuning costs significantly.

Novel architecture for deep learning in temporal prediction.

In-house tool for parallel feature search in ML models.