engblogs

Analyzing phishing threats in Cloudflare's 2023 report using email security data from a 12-month period.

Modular orchestration of business critical workloads using Databricks Workflows on the Databricks Lakehouse Platform.

Understanding the basics of generative AI technology and its significance

A blogpost introducing Sliced Anti-symmetric Decomposition (SAD), a new model for collaborative filtering based on implicit feedback.

OpenAI's recent acquisition of Global Illumination brings new advancements to the field.

This blogpost discusses the implementation of FineRecon, a depth-aware feed-forward network that improves upon the coarse 3D geometry reconstruction typically generated by deep neural networks.

Introducing DNIKit, an open source Python framework for analyzing machine learning models and datasets, enabling comprehensive dataset analysis, finding near duplicate samples, uncovering rare data samples, annotation errors, or model biases, and compressing networks

Leveraging Selective Execution in Amazon SageMaker Pipelines to enhance efficiency in MLOps and streamline the productionization of machine learning models.

Three lessons for maximizing impact in innovation through experimentation at Spotify.

Enabling personalization without data replication through ActionIQ integration with Databricks Lakehouse.

Improving connection overhead and reducing churn in Zuul by implementing HTTP/2 multiplexing and partitioning the origin into subsets

The blogpost discusses the goal of enabling HTTPS-First Mode by default, including automatic upgrades to HTTPS, warning on insecure downloads, and expanding HTTPS-First Mode protections for different user groups.