FAANG

Create Amazon SageMaker models using the PyTorch Model Zoo

Deploying high-quality, trained machine learning (ML) models to perform either batch or real-time inference is a critical piece of bringing…

3 years ago

Collateral IT: Optimizing HSBC asset allocation with Google Cloud

Have you ever heard of an optimization problem? Imagine you have a million marbles, all of different sizes, colors, patterns,…

3 years ago

Perform hyperparameter tuning using R and caret on Vertex AI

To produce any sufficiently accurate machine learning model, the process requires tuning parameters and hyperparameters. Your model’s parameters are variables…

3 years ago

Five benefits of a data catalog

Imagine walking into the largest library you’ve ever seen. You have a specific book in mind, but you have no…

3 years ago

The importance of governance: What we’re learning from AI advances in 2022

Over the last week, millions of people around the world have interacted with OpenAI’s ChatGPT, which represents a significant advance…

3 years ago

How data, AI and automation can transform the enterprise

Today’s data leaders are expected to make organizations run more efficiently, improve business value, and foster innovation. Their role has…

3 years ago

Accelerating Text Generation with Confident Adaptive Language Modeling (CALM)

Posted by Tal Schuster, Research Scientist, Google Research Language models (LMs) are the driving force behind many recent breakthroughs in…

3 years ago

New performance improvements in Amazon SageMaker model parallel library

Foundation models are large deep learning models trained on a vast quantity of data at scale. They can be further…

3 years ago

Next generation Amazon SageMaker Experiments – Organize, track, and compare your machine learning trainings at scale

Today, we’re happy to announce updates to our Amazon SageMaker Experiments capability of Amazon SageMaker that lets you organize, track, compare…

3 years ago

Introducing Fortuna: A library for uncertainty quantification

Proper estimation of predictive uncertainty is fundamental in applications that involve critical decisions. Uncertainty can be used to assess the…

3 years ago