Learn how Bowtie uses Nix to build network appliance images, enabling us to support a variety of formats with a high degree of code reuse and an elegant upgrade process. Ensuring that network appliances are easy to run, test, update, and operate reliably is important and underpins Bowtie’s commitment to robust simplicity.
Source: Baking Images with Nix for Robust Private Networks at Bowtie, an article by Tyler Langlois.
Recently, the machine learning community has been buzzed with discussions surrounding how many parameters state-of-the-art models are. This blog post aims to offer a comprehensive overview of parameter counting, delving into the methods of counting parameters in various transformer-like architectures from first principles and shedding light on how the majority of parameter counts can be attributed to the feedforward network. For this blog post, we will mostly focus on OpenAI’s GPT-3 architecture and Google’s PALM architecture.
Source: Transformer Deep Dive: Parameter Counting, an article by Oren Leung.
In this article we will discuss some strategies and tools to make managing disk arrays on FreeBSD (and related platforms like TrueNAS Core) much easier. These concepts also apply to other operating systems, but the tools might differ slightly.
Source: Managing Disk Arrays on FreeBSD/TrueNAS Core, an article by Allan Jude.