TED Vortex (Teodor-Eugen Duțulescu) 0-vortex

Arch Linux ARM build for M1 (Apple Silicon) VMs

This guide is for building your own Arch Linux ARM VM image and runnig in QEMU, UTM, Parallels...

Preparations in Linux

What you need in Linux phase:

1. qemu-img
2. fdisk
3. kpartx
4. bsdtar

Google dork cheatsheet

Search filters

Filter	Description	Example
allintext	Searches for occurrences of all the keywords given.	`allintext:"keyword"`
intext	Searches for the occurrences of keywords all at once or one at a time.	`intext:"keyword"`
inurl	Searches for a URL matching one of the keywords.	`inurl:"keyword"`
allinurl	Searches for a URL matching all the keywords in the query.	`allinurl:"keyword"`
intitle	Searches for occurrences of keywords in title all or one.	`intitle:"keyword"`

You probably don't know how to do Prompt Engineering

(This post could also be titled "Features missing from most LLM front-ends that should exist")

Apologies for the snarky title, but there has been a huge amount of discussion around so called "Prompt Engineering" these past few months on all kinds of platforms. Much of it is coming from individuals who are peddling around an awful lot of "Prompting" and very little "Engineering".

Most of these discussions are little more than users finding that writing more creative and complicated prompts can help them solve a task that a more simple prompt was unable to help with. I claim this is not Prompt Engineering. This is not to say that crafting good prompts is not a difficult task, but it does not involve doing any kind of sophisticated modifications to general "template" of a prompt.

Others, who I think do deserve to call themselves "Prompt Engineers" (and an awful lot more than that), have been writing about and utilizing the rich new eco-system

Minimal Prompt Chainable

Sequential prompt chaining in one method with context and output back-referencing.

Files

main.py - start here - full example using MinimalChainable from chain.py to build a sequential prompt chian
chain.py - contains zero library minimal prompt chain class
chain_test.py - tests for chain.py, you can ignore this
requirements.py - python requirements

Setup

PSQL

Magic words:

psql -U postgres

Some interesting flags (to see all, use -h or --help depending on your psql version):

-E: will describe the underlaying queries of the \ commands (cool for learning!)
-l: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)

	const WORDLIST = ["abandon","ability","able","about","above","absent","absorb","abstract","absurd","abuse",
	"access","accident","account","accuse","achieve","acid","acoustic","acquire","across","act",
	"action","actor","actress","actual","adapt","add","addict","address","adjust","admit",
	"adult","advance","advice","aerobic","affair","afford","afraid","again","age","agent",
	"agree","ahead","aim","air","airport","aisle","alarm","album","alcohol","alert",
	"alien","all","alley","allow","almost","alone","alpha","already","also","alter",
	"always","amateur","amazing","among","amount","amused","analyst","anchor","ancient","anger",
	"angle","angry","animal","ankle","announce","annual","another","answer","antenna","antique",
	"anxiety","any","apart","apology","appear","apple","approve","april","arch","arctic",
	"area","arena","argue","arm","armed","armor","army","around","arrange","arrest",

	import { Dispatch, SetStateAction, useState, useEffect, useCallback, useRef } from 'react';

	export type StorageArea = 'sync' \| 'local';

	// custom hook to set chrome local/sync storage
	// should also set a listener on this specific key

	type SetValue<T> = Dispatch<SetStateAction<T>>;

	/**

	version: '3'

	services:
	##### GitLab Stack #####
	##### GitLab Stack #####
	gitlab:
	image: 'gitlab/gitlab-ce:latest'
	restart: always
	container_name: gitlab
	hostname: # YOUR HOSTNAME ex. git.example.com

	# Clone llama.cpp
	git clone https://github.com/ggerganov/llama.cpp.git
	cd llama.cpp

	# Build it
	LLAMA_METAL=1 make

	# Download model
	export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin
	wget "https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/${MODEL}"

	# Source: https://gist.github.com/vfarcic/78c1d2a87baf31512b87a2254194b11c

	###############################################################
	# How To Create A Complete Internal Developer Platform (IDP)? #
	# https://youtu.be/Rg98GoEHBd4 #
	###############################################################

	# Additional Info:
	# - DevOps MUST Build Internal Developer Platform (IDP): https://youtu.be/j5i00z3QXyU
	# - How To Create A "Proper" CLI With Shell And Charm Gum: https://youtu.be/U8zCHA-9VLA