engblogs

summaries of the latest blog articles from your favorite tech companies.
Google CloudGoogle Cloud

Tell a more complete data story with customized Looker charts and visualizations

Enhance data storytelling with customizable Looker charts and visualizations

9/20/2024
Apple MLApple ML

European Conference on Computer Vision (ECCV) 2024

Discover Apple's involvement in ECCV 2024 showcasing advancements in ML and computer vision.

9/20/2024
CloudflareCloudflare

Cloudflare incident on September 17, 2024

An analysis of the 2024 Cloudflare incident due to an internal software error affecting Business plan websites, and the steps taken to prevent a similar issue in the future.

9/20/2024
CloudflareCloudflare

Removing uncertainty through "what-if" capacity planning

Modeling 'what-if' scenarios for capacity planning at Cloudflare: a look behind the curtain

9/20/2024
Berkeley AIBerkeley AI

Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination

Exploring linguistic bias in ChatGPT's responses to different varieties of English and its implications on dialect discrimination

9/20/2024
DuolingoDuolingo

5 product lessons we learned from building Friend Streak

5 key insights for product managers from developing Friend Streak

9/20/2024
PinterestPinterest

Feature Caching for Recommender Systems w/ Cachelib

Optimizing recommender systems with feature caching using Cachelib by Meta Open Source.

9/20/2024
CloudflareCloudflare

How Cloudflare is helping domain owners with the upcoming Entrust CA distrust by Chrome and Mozilla

A technical blogpost discussing how Cloudflare is assisting domain owners affected by the upcoming distrust of Entrust CA certificates by Chrome and Mozilla

9/20/2024
DuolingoDuolingo

La Série entre amis : le nouveau moyen de se motiver à plusieurs

Discover how the new 'Série entre amis' feature on Duolingo enhances motivation through friend accountability.

9/19/2024
EleutherAIEleutherAI

The Practitioner's Guide to the Maximal Update Parameterization

A practical guide to implementing and leveraging the benefits of Maximal Update Parameterization (μP) for neural network training, offering insights into stable hyperparameters, reduced tuning costs, improved loss at large scales, stable training, and predictable scaling.

9/19/2024
DatabricksDatabricks

Fine-tuning Llama 3.1 with Long Sequences

Optimizing long sequence fine-tuning with Llama 3.1 for high-quality Retrieval Augmented Generation (RAG) and tool use systems

9/19/2024
EleutherAIEleutherAI

The Practitioner's Guide to the Maximal Update Parameterization

A practical guide to implementing the Maximal Update Parameterization for neural network training, offering benefits such as stable hyperparameters, reduced tuning costs, and improved training stability at large scales.

9/19/2024