rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

hhackbarth

OpenCV 4.5.3 and FFMPEG 4.2.4 (with SRT support) hardware accelerated on NVidia Jetson

Unfortunately, NVidia Jetpack 4.5.x for Jetson Nano, Xavier etc. comes with OpenCV 4.1.1 and FFMPEG 3.4.8 compiled without any hardware (GPU, CUDA) acceleration and without SRT support.

Retrieving current OpenCV build information:

$ python3

import cv2

maciekish

#!/bin/bash
killall Xcode
xcrun -k
xcodebuild -alltargets clean
rm -rf "$(getconf DARWIN_USER_CACHE_DIR)/org.llvm.clang/ModuleCache"
rm -rf "$(getconf DARWIN_USER_CACHE_DIR)/org.llvm.clang.$(whoami)/ModuleCache"
rm -rf ~/Library/Developer/Xcode/DerivedData/*
rm -rf ~/Library/Caches/com.apple.dt.Xcode/*
open /Applications/Xcode.app

ngpestelos

May 8, 2018

I wrote this four years ago, so instead use this command:

$ docker rmi $(docker images -q -f dangling=true)

tamoyal

# Create your superuser
$ mongo
> use admin
> db.createUser({user:"someadmin",pwd:"secret", roles:[{role:"root",db:"admin"}]})
> exit

# Alias for convenience (optional and at your own risk)
$ echo 'alias mongo="mongo --port 27017 -u someadmin -p secret --authenticationDatabase admin"' >> ~/.bash_profile
$ source ~/.bash_profile

arobson

Abstraction Suggestions

Summary: use good/established messaging patterns like Enterprise Integration Patterns. Don't make up your own. Don't expose transport implementation details to your application.

Broker

As much as possible, I prefer to hide Rabbit's implementation details from my application. In .Net we have a Broker abstraction that can communicate through a lot of different transports (rabbit just happens to be our preferred one). The broker allows us to expose a very simple API which is basically:

• publish
• request
• start/stop subscription

mikeboers

2013-10-05 10:19:59 mikeboers@maxwell: ~/Documents/Python/PyAV
$ time python video_frames_via_pipe.py 

real    0m0.564s
user    0m0.729s
sys     0m0.241s

2013-10-05 10:20:01 mikeboers@maxwell: ~/Documents/Python/PyAV
$ time python video_frames_via_pyav.py 

plentz

# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048

ragusa87

#!/bin/bash
# This script is called by udev when you link a bluetooth device with your computer
# It's called to add or remove the device from pulseaudio
#
#

# Output to this file
LOGFILE="/var/log/bluetooth_dev"

# Name of the local sink in this computer

bonty

#ifdef NS_BLOCK_ASSERTIONS

#ifndef NSLog
// NSLogを無効にする
#define NSLog( m, args... )
#endif

#else

#ifndef NSLog