jmsktm

echo 'deb http://http.debian.net/debian wheezy-backports main' > /etc/apt/sources.list.d/wheezy-backports-main.list
curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
apt -y install git-lfs

#Setup base paths
WORKSPACE_PATH="/home/workspace/capstone_ws"
PROJECT_NAME="T2-CapstoneProject"

# Setup the base repository
rm -rf $WORKSPACE_PATH

jmsktm

#!/bin/bash

#Setup base paths
WORKSPACE_PATH="/home/student/capstone_ws"
PROJECT_NAME="project"

# Setup the base repository
rm -rf $WORKSPACE_PATH
mkdir -p $WORKSPACE_PATH && cd $WORKSPACE_PATH
git clone https://github.com/jmsktm/T2-CapstoneProject.git $PROJECT_NAME

jmsktm

#!/usr/bin/env python3

import os
path = "/home/james/Github"

def exec(command):
	print("Executing Command: {}".format(command))
	os.system(command)

def main():

jmsktm

1. download these two files to the same directory
2. docker-compose up
3. http://localhost should show you "it works" which is apache being reverse-proxied through nginx
4. docker sets up DNS for web based on compose service name so the nginx front-end can find http://web
5. proxy is set to listen on public port 80 on host so it'll receive incoming traffic, then push to httpd

jmsktm

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts and experience preferred (super rare at this point).

My own notes from a few months back.

Background

• Survey of LLMS
• Self-attention and transformer networks