Engineering Insights

Evaluating Language Model Bias with 🤗 Evaluate

What is Vitess: resiliency, scalability, and performance

Overview In today’s fast-paced development landscape, building software that is fast, scalable, and that resists outages can make or break the success of any application. Containerized systems with orchestration layers like Kubernetes enable this robustness at the software level. Implementing these protections into your database, however, can often require an entire team of developers and database administrators dedicated to managing multiple database replicas with custom sharding logic to prote

Building an interactive WebGL experience in Next.js

WebGL is a JavaScript API for rendering 3D graphics within a web browser, giving developers the ability to create unique, delightful graphics, unlike anything a static image is capable of. By leveraging WebGL, we were able to take what would have been a static conference signup and turned it into .the immersive Next.js Conf registration page In this post, we will show you how to recreate the centerpiece for this experience using open-source WebGL tooling—including a new tool created by Vercel en

From PyTorch DDP to Accelerate to Trainer, mastery of distributed training with ease

Regional execution for ultra-low latency rendering at the edge

As we work to make a faster Web, increasing speed typically looks like moving more towards the edge—but sometimes requests are served fastest when those computing resources are close to a data source. Today, we’re introducing to address this. Regional execution of Edge Functions allow you to specify the region your executes in. This capability allows you to run your functions near your data to avoid high-latency waterfalls while taking advantage of the fast cold start times of Edge Functions a

Scaling laws for reward model overoptimization

Laravel’s safety mechanisms

Laravel is a mature PHP web application framework with built-in support for almost everything modern applications need. But we’re not going to cover all of those features here! Instead, we’ll look at a topic that doesn’t get talked about nearly enough: Laravel’s many safety features that can help prevent painful mistakes. We’ll take a look at the following safety mechanisms: N+1 prevention Partially hydrated model protection Attribute typos and renamed columns Mass assignment protection Model st

MTEB: Massive Text Embedding Benchmark