Paul Smith paulsmith

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.

Intel 4004, first microprocessor: http://www.computerhistory.org/collections/catalog/102658187
Intel 8008: http://www.computerhistory.org/collections/catalog/102657982
Intel 8080: http://www.computerhistory.org/collections/catalog/102658123
Z80: http://www.computerhistory.org/collections/catalog/102658073
Federico Faggin, SGT inventor, chip designer for 4004, Z80: http://www.computerhistory.org/collections/catalog/102658025
Bill Mensch, chip designer on 6800/6502/65C02/65816: http://www.computerhistory.org/collections/catalog/102739969
Motorolla 68000: http://www.computerhistory.org/collections/catalog/102658109
3dfx, Voodoo, the seminal GPU: http://www.computerhistory.org/collections/catalog/102746834
LSI Logic, EDA/fabless innovator: http://www.computerhistory.org/collections/catalog/102746194
VLSI Technologies, EDA/fabless innovator: http://www.computerhistory.org/collections/catalog/102746456

If you don't care about the explanation, scroll down to find the code, it's 50 some odd lines and written by someone who doesn't know any better. You have been warned.

What it does

This is a very simple proof of concept jitting RPN calculator implemented in python. Basically, it takes the source code, tokenizes it via whitespace, and asks itself one simple question: am I looking at a number or not?

First, let's talk about the underlying program flow. Pretend that you are a shoe connoisseur with a tiny desk. You may only have two individual shoes on that desk at any one time, but should you ever purchase a new one or get harassed by an unruly shoe salesman without realizing that you have the power to say no (or even maybe?), you can always sweep aside one of the two shoes on the desk (the one on the right, because you're a lefty and you feel that the left side is always superior) onto the messy floor, put the other shoe on the right hand side, and then place your newly acquired shoe in

	"""
	jQuery templates use constructs like:

	{{if condition}} print something{{/if}}

	This, of course, completely screws up Django templates,
	because Django thinks {{ and }} mean something.

	Wrap {% verbatim %} and {% endverbatim %} around those
	blocks of jQuery templates and this will try its best

	ctrl-z
	bg

	touch /tmp/stdout
	touch /tmp/stderr
	gdb -p $!

	# In GDB
	p dup2(open("/tmp/stdout", 1), 1)
	p dup2(open("/tmp/stderr", 1), 2)

	import urllib, re
	from pprint import pprint as pp
	from datetime import datetime, timedelta
	from geopy.geocoders import Google
	import MySQLdb
	from time import sleep

	bcpd_arc_url = "http://maps.baltimorepolice.org/servlet/com.esri.esrimap.Esrimap?ServiceName=BaltimorePolice&CustomService=Query&ClientVersion=3.1&Form=True&Encode=False"

	districts={"Northwest":

	import urllib, re
	from pprint import pprint as pp
	from datetime import datetime, timedelta
	from geopy.geocoders import Google
	import MySQLdb
	from time import sleep

	bcpd_arc_url = "http://maps.baltimorepolice.org/servlet/com.esri.esrimap.Esrimap?ServiceName=BaltimorePolice&CustomService=Query&ClientVersion=3.1&Form=True&Encode=False"

	districts={"Northwest":