Tim Davis on a programming language for AI, an efficient, user-friendly inference engine for seamless model execution.
Gev Sogomonian on the role metadata plays in developing next-generation AI and LLM-backed applications.
The Data Exchange Podcast: Marco Ribeiro on why accuracy on benchmarks is not sufficient for evaluating NLP models.
The Data Exchange Podcast: Ofer Razon on building machine learning tools to scale AI operations.
The Data Exchange Podcast: Ameet Talwalkar on the Determined Training Platform, Neural Architecture Search, Federated Learning and more.
The Data Exchange Podcast: Edo Liberty on building tools for deploying deep learning models in search and information retrieval.
The Data Exchange Podcast: Alejandro Saucedo on explainability, MLOps, adversarial robustness, and privacy.
The Data Exchange Podcast: Rajat Monga on TensorFlow 2.0, TFX, and the state of machine learning platforms.