Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

Abstract: Training generalized robotic planning and decision-making models require a substantial amount of training data to enhance the model's performance, particularly in machine vision. Traditional ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...