engblogs

Predicting HVAC faults across large fleets of equipment using AWS Glue and Amazon SageMaker using ML and parallel data processing.

Introducing a method for content moderation on image data using multi-modal pre-training and a large language model, enabling users to interact with images to confirm inappropriate content and generate structured JSON output.

Exploring the journey to achieve a remarkable 68,000x speedup over Python through the use of Mojo🔥 in this third part of the blog series.

Improving ML capabilities on Kubernetes and reducing cloud costs

This blogpost discusses the implementation of MLEnv at Pinterest, a standardized ML engine that has resulted in improved ML developer velocity, ML platform productivity, and collaboration across teams.

Insights into writing code at Meta's scale and the experiences of software engineers at Meta.

The blogpost explores two words that are universally shared by all languages and their significance.

Announcement of the opening of Databricks' Bengaluru Development Center and the expansion of their R&D teams in India

Exploring connection coalescing with ORIGIN Frames and its management at a large scale

Running more workloads on Databricks' multi-user clusters with security improvements.

Enhancements to onboard more workloads to Unity Catalog clusters in shared access mode

Enhancements to Workers Tail allow for enabling it at any size and scale