“Agent” is likely going to be the word that will cause existential dread to true LLM enthusiasts.
Ever witnessed a fighter jet spewing hot flames as it kicks into afterburner? In that moment, efficiency is deliberately sacrificed for maximum acceleration.
This is powered by SearXNG, an excellent open-source meta search engine.
You can absolutely run Qwen-2.5 32B. And of course, Llama-3.1 8B and Llama-3.2 Vision 11B are no problem at all.
Dokku is a self-hosted Platform-as-a-Service (PaaS) that offers a compelling alternative to popular PaaS solutions like Heroku. With built-in support for Linux containers, deploying an application on Dokku is straightforward. However, there is a lesser-known deployment method that involves sending a build artifact, such as a JAR package for Java apps, directly to Dokku.
For React Native mobile apps targeting Android and iOS, an easy way to setup its continuous integration is to take advantage of Actions, an automation workflow service provided by GitHub. Even better, for open-source projects, GitHub Action offers unlimited free running minutes (at the time of this writing).
Thanks to the complete GitHub Actions for MSYS2, it is easier than ever to construct a continuous integration setup for building with compilers and toolchains which can run on MSYS2.
When working on command-line utilities which can be useful for various platforms, from Windows on x86 to Linux on MIPS, the existence of a cross-compilation is highly attractive. A number of different binaries can be constructed conveniently from a single, typically powerful host system.
Even though Ubuntu/Debian is equipped with its legendary powerful package manager, dpkg, in some cases, it is still beneficial to take advantage of Nix, a purely functional package manager.
Your little Firebase project is getting bigger every day? Never underestimate the need to establish a solid and firm integration tests from the get go.
For a blog hosted with Firebase Hosting, it turns out that a little search box is fairly easy to implement by using Cloud Functions for Firebase.
After using Azure DevOps for a while, I am totally sold on its Auto Complete feature for pull requests. While it does not apply universally, I do believe that any development process should be at the level where merging pull requests, or generalizing it, integrating all forms of contribution, should be as automatic and as hassle-free as possible.
Thanks to the MSYS2 project, now there is an easy way to utilize Clang to build C/C++ application on Windows. This works equally well for both 32-bit and 64-bit programs.