engblogs

Utilizing AI and foundation models to enhance email surveillance for banks, improving fraud detection and prevention

AdaTape is a Transformer-based model that utilizes adaptive computation and dynamic read-and-write mechanisms to adjust its behavior and computation budget based on the complexity of the input, providing an effective and efficient approach for improving performance on various tasks.

Executing the operating model for Data and AI with Databricks

Unlocking healthcare data for advanced analytics through a new partnership with Redox

An introduction to Mojo🔥 for Python programmers

Improving the scrolling experience in Chrome on Android by reducing slow scrolling jank by 2x through filtering noise and reducing visual jumps in the content presented on screen.

The blog post explores Slack's approach to enhancing accessibility to empower people with disabilities.

Exploring prompt-chaining patterns and their applications in the command model.

AdaTape is a Transformer-based model that utilizes adaptive computation and elastic input sequences, providing an effective inductive bias and improved performance on standard tasks like image classification.

Deploying multiple model ensembles with Amazon SageMaker multi-model endpoints on GPU to reduce hosting costs.

How to host the Spark UI on Amazon SageMaker Studio by running Spark applications interactively and connecting SageMaker Studio notebooks and AWS Glue Interactive Sessions to run Spark jobs with a serverless cluster.

Introducing StableCode, Stability AI's LLM generative AI product for coding, designed to assist programmers and enhance learning for new developers.