In the process of modding my instance, I learned *far* more than I intended to about #git. Whilst I do use git in my day job, for managing small research codebases and drafting papers, I don’t really use its full capabilities.
Initially, I thought that it would simply be a matter of making a local branch for the mods, but it turns out it’s rather easy to get into a mess with dependencies & merging upstream changes.
I also didn’t realise, until it was too late, that the `main` branch of the mastodon #github was not the most recent stable release, but closer to a nightly build.
#mastoadmin
https://colquitt.xyz/@daniel/113851283047740123
FREE BOOK - CUDA C++ Programming Guide
Release 12.6
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Before I try to do something in Git that I know will probably fail, (because I'm a noob at Git) I'll just create a tarball of my local repo in case I screw it up, so I can delete the local repo and extract the local repo from my tarball and get back to where I was before The Big Screwup™. It saves me a lot of pain and encourages me to experiment and Git good at Git.
#DevOps #Developer #Dev #Git #Silly
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#python #rust #c #c++ #machinelearning #deeplearning #ai #developer #dev #devsecops #devops #mlops #learn #learning #focus #study #git #gitlab #github #codeberg #software
How many times have I had to reset my repository and resubmit it as new because of the infernal git and its gibberish? A few, heh, heh. Today I discovered https://ohshitgit.com/ to solve some crashes to the well.
#git #shit
@prashere I haven't documented it so far, trying to make everything available via #Git first so it is easy to just copy and setup, as a general infra backups for my #homelab #FSHM & #coopon infra. Then I am planning to put it on my #selfhosted blog. So Coming Soon™
Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “the study and design of rational agents.”
https://huyenchip.com//2025/01/07/agents.html
#python #rust #c #c++ #machinelearning #deeplearning #ai #developer #dev #devsecops #devops #mlops #learn #learning #focus #study #git #gitlab #github #codeberg #software
Kokoro is a frontier TTS model for its size of 82 million parameters (text in/audio out).
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We introduce Sana, a text-to-image framework that can efficiently generate images up to 4096 × 4096 resolution. Sana can synthesize high-resolution, high-quality images with strong text-image alignment at a remarkably fast speed, deployable on laptop GPU.
#python #rust #c #c++ #machinelearning #deeplearning #ai #developer #dev #devsecops #devops #mlops #learn #learning #focus #study #git #gitlab #github #codeberg #software