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.
## 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;}); |
$ podman machine start
Starting machine "podman-machine-default" Waiting for VM ... Mounting volume... /Users/pradeep:/Users/pradeep
This machine is currently configured in rootless mode. If your containers require root permissions (e.g. ports < 1024), or if you run into compatibility issues with non-podman clients, you can switch using the following command:
:root {color-scheme: light dark;}html {max-width: 70ch;padding: calc(1vmin + .5rem);margin-inline: auto;font-size: clamp(1em, 0.909em + 0.45vmin, 1.25em);font-family: system-ui}body :not(:is(h1,h2,h3,h4,h5,h6)) {line-height: 1.75;}h1,h2,h3,h4,h5,h6 {margin: 3em 0 1em;}p,ul,ol {margin-bottom:2em;color:#1d1d1d;font-family: sans-serif;} |
Why should a dictionary be arranged alphabetically?
Why not arrange them in the order of most commonly used on down?
Why can we not organize dictionary to progressively improve an individual's knowledge of the words (meaning, usage)?
In the print world, it made sense to organize words in a sorted order so that it is easy to look up a word.
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 |