Model Validation Innovations
Tim and Sameer discuss the importance of non-interactive model validation and the checklist approach in ML engineering. Sameer highlights the significance of task-oriented testing and the challenges of creativity and relevance in test creation. Yasaman explores the potential for machine-driven testing based on pre-training data analysis.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#73 - YASAMAN RAZEGHI & Prof. SAMEER SINGH - NLP benchmarks
Related Questions
What metrics are important in evaluating artificial intelligence in the context of the episode "Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17" and the clip "Model Validation Challenges"?
What metrics are important in evaluating artificial intelligence in the context of the episode Analyzing the Google Paper on Continuous Delivery in ML // Part 4 // MLOps Coffee Sessions #17 and the clip Model Validation Challenges?