Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
<?xml version="1.0" encoding="UTF-8"?> | |
<!-- Schema for the SOAP/1.1 encoding | |
Portions © 2001 DevelopMentor. | |
© 2001 W3C (Massachusetts Institute of Technology, Institut National de Recherche en Informatique et en Automatique, Keio University). All Rights Reserved. | |
This document is governed by the W3C Software License [1] as described in the FAQ [2]. | |
[1] http://www.w3.org/Consortium/Legal/copyright-software-19980720 | |
[2] http://www.w3.org/Consortium/Legal/IPR-FAQ-20000620.html#DTD | |
By obtaining, using and/or copying this work, you (the licensee) agree that you have read, understood, and will comply with the following terms and conditions: |
# syntax=docker/dockerfile:1 | |
# Keep this syntax directive! It's used to enable Docker BuildKit | |
# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865 | |
# but I try to keep it updated (see history) | |
################################ | |
# PYTHON-BASE | |
# Sets up all our shared environment variables | |
################################ |
The Linux kernel is written in C, so you should have at least a basic understanding of C before diving into kernel work. You don't need expert level C knowledge, since you can always pick some things up underway, but it certainly helps to know the language and to have written some userspace C programs already.
It will also help to be a Linux user. If you have never used Linux before, it's probably a good idea to download a distro and get comfortable with it before you start doing kernel work.
Lastly, knowing git is not actually required, but can really help you (since you can dig through changelogs and search for information you'll need). At a minimum you should probably be able to clone the git repository to a local directory.
This guide will walk you through the process of setting up NVIDIA drivers, CUDA, cuDNN, and some popular data science libraries on Ubuntu 22.04.
// ==UserScript== | |
// @name CHT e-Learning Assistant | |
// @source https://gist.github.com/tan9/41686eab8e704bb18885a24339010d65 | |
// @version 0.7.2 | |
// @description Learn with no pain (and hopefully not no gain...) | |
// @author tan9, danny | |
// @downloadURL https://gist.githubusercontent.com/tan9/41686eab8e704bb18885a24339010d65/raw/ | |
// @updateURL https://gist.githubusercontent.com/tan9/41686eab8e704bb18885a24339010d65/raw/ | |
// @require https://www.gstatic.com/firebasejs/4.9.0/firebase.js | |
// @require https://code.jquery.com/jquery-1.12.4.min.js |
TL;DR: Creates a Gstreamer pipeline to read camera frames from a GigE camera, using Aravis library, and publish them as V4l2 camera source, using V4l2loopback, that can be read by video conferencing programs like Zoom/Skype/Teams.
gst-launch-1.0 aravissrc blocksize=5013504 h-binning=1 v-binning=1 ! video/x-bayer,format=rggb,framerate=100/5,width=2448,height=2048 ! bayer2rgb ! video/x-raw,format=RGBx ! videoconvert ! video/x-raw,format=YUY2 ! aspectratiocrop aspect-ratio=16/9 ! videoscale ! video/x-raw,width=1280,height=720 ! queue ! v4l2sink device=/dev/video0
So, you guys might be wondering, how do these "Developers" get your favourite Custom roms, such as LineageOS, Paranoid Android etc., to their own devices. Well I'm here to Guide you on how to do it, specifically on how to bringup or make your own device tree from scratch or adapting.
Prerequisite: Certain requirements are to be met before you start with this amazing journey.
// Ropp's main config | |
// https://nilesoft.org/docs/functions/id | |
// Cheatsheet: | |
// Types: file|dir|drive|usb|dvd|fixed|vhd|removable|remote|back|desktop|namespace|computer|recyclebin|taskbar | |
// remove... mod etc | |
// multiple remove (find="view|sort|paste") | |
// all not equal to remove(where=this.name!="shit") | |
// type is file only remove (type="file" find="run as admin") | |
// modify( find = value [property = value [...] ]) | |
// |