Event Streaming and Event Sourcing: The Key Differences
Event sourcing and event sourcing help coordinate events in an event-driven architecture. Together they help build a durable, high-performance application.
VMware Aria Graph Powers New Multicloud Management Strategy
VMware launches a new graph data store known as VMware Aria Graph that serves as the underpinning of the company's new multicloud management portfolio.
Internal Developer Advocacy: What Should You Do Next?
Traditional developer relations is an inside-out form of advocacy. Internal developer advocacy is an outside-in approach focused on developer experience.
Tommy McClung, cofounder and CEO of ReleaseHub, sits down with the home team to talk about environments-as-a-service, what it’s like to work with the same cofounders for more than 20 years, and the role of karma in professional networking.
Tutorial on using LLVM to JIT PyTorch fx graphs to native code (x86/arm/risc-v/wasm) (Part I – Scalars) | Terra Incognita
In 2009 I started playing with LLVM for some projects (data structure jit, for genetic programming, jit for tensorflow graphs, etc), and in these projects I realized how powerful LLVM design was at the time (and still is): using an elegant IR (intermediate representation) with an user-facing API and modularized front-ends and backends with plenty
Dear Lazyweb, how do I forward my employees' email to their gmail accounts and have it get there? To recap, my domain hosts its own SMTP server running Postfix, and /etc/postfix/virtual contains a bunch of entries forwarding "employee_name@dnalounge.com" to whatever their actual email address is, usually gmail. This has been mostly working fine for a decade or so, but lately there have been ...
[Updated on 2021-09-19: Highly recommend this blog post on score-based generative modeling by Yang Song (author of several key papers in the references)]. [Updated on 2022-08-27: Added classifier-free guidance, GLIDE, unCLIP and Imagen. [Updated on 2022-08-31: Added latent diffusion model.
So far, I’ve written about three types of generative models, GAN, VAE, and Flow-based models. They have shown great success in generating high-quality samples, but each has some limitations of its own.