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.
# Powershell script to export Powerpoint Presentations to pdf using the Powerpoint COM API | |
# Based on a VB script with the same purpose | |
# http://superuser.com/questions/641471/how-can-i-automatically-convert-powerpoint-to-pdf | |
function Export-Presentation($inputFile) | |
{ | |
# Load Powerpoint Interop Assembly | |
[Reflection.Assembly]::LoadWithPartialname("Microsoft.Office.Interop.Powerpoint") > $null | |
[Reflection.Assembly]::LoadWithPartialname("Office") > $null |
## Put this Makefle in your project directory---i.e., the directory | |
## containing the paper you are writing. Assuming you are using the | |
## rest of the toolchain here, you can use it to create .html, .tex, | |
## and .pdf output files (complete with bibliography, if present) from | |
## your markdown file. | |
## - Using `make` without arguments will generate html, tex, and pdf | |
## output files from all of the files with the designated markdown | |
## extension. The default is `.md` but you can change this. | |
## - You can specify an output format with `make tex`, `make pdf` or | |
## - `make html`. |
var timer=100;document.querySelectorAll("div > input[type='checkbox']:checked").forEach((interest) => {setTimeout(function(){interest.click()},timer);timer+=2000;}); |
source: openkb.info
Oozie Launcher job is a map-only job which will start the jobs which does the real work: eg, Hive, MR, Pig, etc.
(Oozie Launcher MR job [AM/Mapper Container(Hive CLI)])
. -> (MR job-1 spawned by Hive query(stage0) [AM/Mapper/Reducer Containter])
. -> (MR job-2 spawned by Hive query(stage1) [AM/Mapper/Reducer Containter])
It is controlled by below 4 parameters set in workflow.xml for each Oozie job.
Introduction | |
------------- | |
This gist includes sample data, application components, and components to execute a bundle application. | |
The sample bundle application is time triggered. The start time is defined in the bundle job.properties | |
file. The bundle application starts two coordinator applications- as defined in the bundle definition file - | |
bundleConfirguration.xml. | |
The first coordinator job is time triggered. The start time is defined in the bundle job.properties file. | |
It runs a workflow, that includes a java main action. The java program parses some log files and generates |
# Generate PDFs from the Markdown source files | |
# | |
# In order to use this makefile, you need some tools: | |
# - GNU make | |
# - Pandoc | |
# - LuaLaTeX | |
# - DejaVu Sans fonts | |
# Directory containing source (Markdown) files | |
source := src |
#!/bin/bash | |
# bash generate random alphanumeric string | |
# | |
# bash generate random 32 character alphanumeric string (upper and lowercase) and | |
NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1) | |
# bash generate random 32 character alphanumeric string (lowercase only) | |
cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1 |
WordGrinder is a port of a Unix program, and a few things don’t map well onto the way Windows works. There are some things you need to know.
Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
ActivityTweet | |
generic_activity_highlights | |
generic_activity_momentsbreaking | |
RankedOrganicTweet | |
suggest_activity | |
suggest_activity_feed | |
suggest_activity_highlights | |
suggest_activity_tweet |