Catherine Cai catherinetcai

`$HOME`, Not So Sweet `$HOME`

Preface
1 What is $HOME to you?
2 Setup
- 2.1 Linux
2.1.4 xdg-user-dirs

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.

Lecture 1: Introduction to Research — [📝Lecture Notebooks] [▶️Video]
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [▶️Video]
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [▶️Video]
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [▶️Video]
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[▶️Vide

The latest beta (3.5) includes separate color settings for light & dark mode. Toggling dark mode automatically switches colors.

Vist iTerm2 homepage or use brew install iterm2-beta to download the beta. Thanks @stefanwascoding.

Add switch_automatic.py to ~/Library/ApplicationSupport/iTerm2/Scripts/AutoLaunch with:

What to Expect and Tips

• 45-minute systems interview, focus on responding to real world problems with an unhealthy service, such as a web server or database. The interview will start off at a high level troubleshooting a likely scenario, dig deeper to find the cause and some possible solutions for it. The goal is to probe your knowledge of systems at scale and under load, so keep in mind the challenges of the Facebook environment.
• Focus on things such as tooling, memory management and unix process lifecycle.

Systems

More specifically, linux troubleshooting and debugging. Understanding things like memory, io, cpu, shell, memory etc. would be pretty helpful. Knowing how to actually write a unix shell would also be a good idea. What tools might you use to debug something? On another note, this interview will likely push your boundaries of what you know (and how to implement it).

Design/Architecture

Interview is all about taking an ambiguous question of how you might build a system and letting

Setting up Debian repositories with JFrog Artifactory

While I was searching for how I use Artifactory as Debian repository, I came across official Artifactory documentation: How do I cache artifacts from a remote Debian repository?. But, it did not work because there is no apt-add-repository command as documentation mentioned. I had to figure out the correct way by myself and following steps worked for me.

Resources

AWS CNI plugin is now merged with kops: kubernetes/kops#3997. This gist explains how to build kops, create a Kubernetes cluster using correct --networking option, and then test it.

Build kops

export GOPATH=`pwd`
mkdir src/k8s.io; cd src/k8s.io
git clone [email protected]:kubernetes/kops.git
cd kops
export S3_BUCKET_NAME=<some bucket you own>

	brew install pandoc
	brew tap homebrew/cask
	brew install --cask basictex
	eval "$(/usr/libexec/path_helper)"
	# Update $PATH to include `/usr/local/texlive/2022basic/bin/universal-darwin`
	sudo tlmgr update --self
	sudo tlmgr install texliveonfly
	sudo tlmgr install xelatex
	sudo tlmgr install adjustbox
	sudo tlmgr install tcolorbox

	package main

	import (
	"context"
	"flag"
	"fmt"
	"log"
	"net/http"
	"os"
	"os/signal"