Marktechpost

JULY 19, 2023

Understanding patterns of model output for subgroups or slices of input data goes beyond examining aggregate metrics like accuracy or F1 score. Stakeholders such as ML engineers, designers, and domain experts must work together to identify a model’s expected and potential faults.

Machine Learning 52

Machine Learning ML Python Metadata 52

Snorkel AI

JULY 5, 2023

Generally, data is produced by one team, and then for that to be discoverable and useful for another team, it can be a daunting task for most organizations. Even larger, more established organizations struggle with data discovery and usage. So does that mean feature selection is no longer necessary? Robert, you can go first.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

Generally, data is produced by one team, and then for that to be discoverable and useful for another team, it can be a daunting task for most organizations. Even larger, more established organizations struggle with data discovery and usage. So does that mean feature selection is no longer necessary? Robert, you can go first.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52

Snorkel AI

JULY 5, 2023

Generally, data is produced by one team, and then for that to be discoverable and useful for another team, it can be a daunting task for most organizations. Even larger, more established organizations struggle with data discovery and usage. So does that mean feature selection is no longer necessary? Robert, you can go first.

Large Language Models 52

Large Language Models Metadata Machine Learning AI 52