LLM provides a Python API for executing prompts, in addition to the command-line interface.

[...]

To run a prompt against the gpt-3.5-turbo model, run this:

import llm

model = llm.get_model("gpt-3.5-turbo")
model.key = 'YOUR_API_KEY_HERE'
response = model.prompt("Five surprising names for a pet pelican")
print(response.text())

There are many tools that we can use for SSO, such as Authelia, Authentik, or Keycloak.

Although some of the aforementioned SSO tools may be easier to set up, I decided to go with Keycloak. Keycloak is an enterprise-level tool that is supported by Redhat. Using Keycloak will give us a lot of flexibility, and ticks the boxes for acceptable memory usage, theme-ability, and multi-factor authentication support.

git-remote-gcrypt is a git remote helper to push and pull from repositories encrypted with GnuPG, using a custom format. This remote helper handles URIs prefixed with gcrypt::.

Testament is an advanced automatic unittests runner for Nim tests, is used for the development of Nim itself, offers process isolation for your tests, it can generate statistics about test cases, supports multiple targets (C, C++, ObjectiveC, JavaScript, etc), simulated Dry-Runs, has logging, can generate HTML reports, skip tests from a file, and more, so can be useful to run your tests, even the most complex ones.

Music Blocks is a great way to learn coding through music (as well as learn music through coding). Move colorful blocks around the screen to design dynamic musical creations. Test your code at the click of a button. Create everything from simple songs to puzzles and games.

Abstract We introduce MusicLM, a model generating high-fidelity music from text descriptions such as "a calming violin melody backed by a distorted guitar riff". MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence modeling task, and it generates music at 24 kHz that remains consistent over several minutes. Our experiments show that MusicLM outperforms previous systems both in audio quality and adherence to the text description. Moreover, we demonstrate that MusicLM can be conditioned on both text and a melody in that it can transform whistled and hummed melodies according to the style described in a text caption. To support future research, we publicly release MusicCaps, a dataset composed of 5.5k music-text pairs, with rich text descriptions provided by human experts.

Once a commit cements itself in git’s history—that’s it. It’s impossible to amend a commit message buried deep in a repo’s log.

But git notes enable you to amend new information about old commits in a special namespace. And they’re capable of so much more.

Notes stow metadata about anything tracked by git—any object: commits, blobs, and trees. All without futzing with the object itself.

A tree view (collapsible list) can be created using only HTML and CSS, without the need for JavaScript. Accessibility software will see the tree view as lists nested inside disclosure widgets, and the standard keyboard interaction is supported automatically.

I spent some months following BTS and Blackpink and others, butchering my algorithmic recommendations in the process, and concluded that there are four key things all K-pop bands do to cultivate their fandoms. I’ll describe each below, along with examples of how founders and execs can modify these tactics to build passion for a product, brand, or mission. No dancing required.

In this post I will show you how to break down Linux system load by the load contributor or reason. You can drill down into the “linux system load in thousands” and “high system load, but low CPU utilization” problem patterns too.