veekaybee

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 of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

markus-beuckelmann

#!/usr/bin/env python
# -*- coding: UTF-8 -*-

# Roughly based on: http://stackoverflow.com/questions/11443302/compiling-numpy-with-openblas-integration

from __future__ import print_function

import numpy as np
from time import time

zenorocha

1. Get your IP Address

echo `ifconfig $(netstat -nr | grep -e default -e "^0\.0\.0\.0" | head -1 | awk '{print $NF}') | grep -e "inet " | sed -e 's/.*inet //' -e 's/ .*//' -e 's/.*\://'`

2. Modify your hosts file

TiZ-HugLife

#! /bin/sh

bspc config top_padding        24
bspc config bottom_padding     0
bspc config left_padding       0
bspc config right_padding      0
bspc config border_width       3
bspc config window_gap         16

# Borders and gaps

quchen

13:15 <xQuasar>      | HASKELL IS FOR FUCKIN FAGGOTS. YOU'RE ALL A BUNCH OF 
                     | FUCKIN PUSSIES
13:15 <xQuasar>      | JAVASCRIPT FOR LIFE FAGS
13:16 <luite>        | hello
13:16 <ChongLi>      | somebody has a mental illness!
13:16 <merijn>       | Wow...I suddenly see the error of my ways and feel 
                     | compelled to write Node.js!
13:16 <genisage>     | hi
13:16 <luite>        | you might be pleased to learn that you can compile 
                     | haskell to javascript now