engblogs

Operationalizing knowledge for data-centric AI: A high-level introduction to data-centric AI and Snorkel Flow's platform for rapidly labeling and developing datasets to train ML models.

Exploring the Future of Artificial General Intelligence and Its Implications

An in-depth look at the technical takeaways from building an animated image carousel on The New York Times iOS Core News App using SwiftUI and UIKit frameworks.

Exploring the importance of planning for the future of artificial general intelligence and its impact on humanity.

An automated system to detect data drifts in batch datasets at Uber scale, reducing the median time to detect issues by 5X.

Pinterest has adopted HTTP/3, the next generation HTTP protocol, for major production domains on their multi-CDN edge network and upgraded client apps' network stack to support the new protocol, resulting in faster and more reliable networking for users.

Operationalizing responsible AI: A discussion on turning abstract concepts into measurable observations and actions in AI systems with a focus on fairness and responsible AI using the Credo AI Lens tool.

This blogpost introduces the 'Gossip Glomers', a series of distributed systems challenges that combine real code with academic rigor to teach people about distributed systems theory and help them gain practical experience.

Designing and implementing a scalable and reliable inventory platform to manage a large number of items for multiple merchants in the Convenience and Grocery business.

How a Brown professor improved GPT-3 by shrinking it and using multitask training with curated data.

This blogpost explains how to ship logs from your applications, centralize them, and use log aggregators like Logtail.

Cleanlab CEO demonstrates automatic data-cleansing tools for model training, exposing millions of errors in benchmark datasets