engblogs

Exploring the growth and international reach of the creator economy through the use of Stripe Connect by major creator platforms.

Optimizing ML-on-Kubernetes capabilities to reduce cloud costs by 40%

Improving margins and reducing cloud costs by maturing ML-on-Kubernetes capabilities.

Introducing the new Databricks Bengaluru Development Center and its R&D teams in India

Optimize deployment cost of Amazon SageMaker JumpStart foundation models by utilizing Amazon SageMaker asynchronous endpoints and reducing cold start time.

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.