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 |