[Submitted on 18 Dec 2024] Authors: Frank F. Xu, Yufan Song, Boxuan Li, Yuxuan Tang, Kritanjali Jain, Mengxue Bao, Zora Z. Wang, Xuhui Zhou, Zhitong Guo, Murong Cao, Mingyang Yang, Hao Yang Lu, Amaad Martin, Zhe Su, Leander Maben, Raj Mehta, Wayne Chi, Lawrence Jang, Yiqing Xie, Shuyan Zhou, Graham Neubig View PDF HTML (experimental)

A core limitation of current benchmarks is that they often fail to accurately reflect the actual use cases of their evaluated models. Despite this, there exists a common misconception that strong performance for a model on a public benchmark directly generalizes to comparable real-world performance. A model’s performance on a public benchmark is often inflated

The benchmark results presented here should follow these database benchmarking principles: Reproducibility – you should be able to easily setup the feature store and re-run the source code provided in this repository Fairness – there should be no cherry-picking of results, hidden configuration parameters, unrealistic workload tuning, Realistic Workloads – the workloads benchmarked should be

Testing is a crucial aspect of software development that helps ensure the quality and reliability of your code. In Go, testing is built into the language through the testing package, which makes it easy to write and execute tests for your programs.Tests are essential because they:Validate the correctness of your code, ensuring that it behaves
Comparing how fast containers scale up under different orchestrators on AWS in 2022 Reading time: about 45 minutes April 2022 This all started with a blog post back in 2020, from a tech curiosity: what’s the fastest way to scale containers on AWS? Is ECS faster than EKS? What about Fargate? Is there a difference…
Reddit uses markdown for all of its posts and comments and so I needed a way to parse and render markdown not only well but fast. In the two years I’ve been working on this app of and on I’ve went through multiple differently libraries before I decided it’d be worthwhile to actually go and…