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.
// ==UserScript== | |
// @name noVNC Paste for Proxmox | |
// @namespace http://tampermonkey.net/ | |
// @version 0.2a | |
// @description Pastes text into a noVNC window (for use with Proxmox specifically) | |
// @author Chester Enright | |
// @match https://* | |
// @include /^.*novnc.*/ | |
// @require http://code.jquery.com/jquery-3.3.1.min.js | |
// @grant none |
#!/bin/bash | |
rm *.jks 2> /dev/null | |
rm *.pem 2> /dev/null | |
echo "====================================================" | |
echo "Creating fake third-party chain root -> ca" | |
echo "====================================================" | |
# generate private keys (for root and ca) |
Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
# Got a bunch of .ckpt files to convert? | |
# Here's a handy script to take care of all that for you! | |
# Original .ckpt files are not touched! | |
# Make sure you have enough disk space! You are going to DOUBLE the size of your models folder! | |
# | |
# First, run: | |
# pip install torch torchsde==0.2.5 safetensors==0.2.5 | |
# | |
# Place this file in the **SAME DIRECTORY** as all of your .ckpt files, open a command prompt for that folder, and run: | |
# python convert_to_safe.py |
# List all possible power config GUIDs in Windows | |
# Run: this-script.ps1 | Out-File powercfg.ps1 | |
# Then edit and run powercfg.ps1 | |
# (c) Pekka "raspi" Järvinen 2017 | |
$powerSettingTable = Get-WmiObject -Namespace root\cimv2\power -Class Win32_PowerSetting | |
$powerSettingInSubgroubTable = Get-WmiObject -Namespace root\cimv2\power -Class Win32_PowerSettingInSubgroup | |
Get-WmiObject -Namespace root\cimv2\power -Class Win32_PowerSettingCapabilities | ForEach-Object { | |
$tmp = $_.ManagedElement |
#!/bin/bash | |
# Referenced and tweaked from http://stackoverflow.com/questions/6174220/parse-url-in-shell-script#6174447 | |
proto="$(echo $1 | grep :// | sed -e's,^\(.*://\).*,\1,g')" | |
# remove the protocol | |
url="$(echo ${1/$proto/})" | |
# extract the user (if any) | |
userpass="$(echo $url | grep @ | cut -d@ -f1)" | |
pass="$(echo $userpass | grep : | cut -d: -f2)" | |
if [ -n "$pass" ]; then |
I will maybe someday get around to dusting off my C and making these changes myself unless someone else does it first.
Imagine a long-running development branch periodically merges from master. The
git log --graph --all --topo-order
is not as simple as it could be, as of git version 1.7.10.4.
It doesn't seem like a big deal in this example, but when you're trying to follow the history trails in ASCII and you've got several different branches displayed at once, it gets difficult quickly.
#! /bin/bash | |
# ECHO COMMAND | |
# echo Hello World! | |
# VARIABLES | |
# Uppercase by convention | |
# Letters, numbers, underscores | |
NAME="Bob" | |
# echo "My name is $NAME" |