Deploying high-quality, trained machine learning (ML) models to perform either batch or real-time inference is a critical piece of bringing…
Have you ever heard of an optimization problem? Imagine you have a million marbles, all of different sizes, colors, patterns,…
To produce any sufficiently accurate machine learning model, the process requires tuning parameters and hyperparameters. Your model’s parameters are variables…
Imagine walking into the largest library you’ve ever seen. You have a specific book in mind, but you have no…
Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance…
Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has…
Posted by Tal Schuster, Research Scientist, Google Research Language models (LMs) are the driving force behind many recent breakthroughs in…
Foundation models are large deep learning models trained on a vast quantity of data at scale. They can be further…
Today, we’re happy to announce updates to our Amazon SageMaker Experiments capability of Amazon SageMaker that lets you organize, track, compare…
Proper estimation of predictive uncertainty is fundamental in applications that involve critical decisions. Uncertainty can be used to assess the…