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