andreyvit

tmux cheat sheet

(C-x means ctrl+x, M-x means alt+x)

Prefix key

The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf:

remap prefix to Control + a

netpoetica

#Setting up Nginx on Your Local System ###by Keith Rosenberg

##Step 1 - Homebrew The first thing to do, if you're on a Mac, is to install homebrew from http://mxcl.github.io/homebrew/

The command to type into terminal to install homebrew is:

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

andyfaff

Investigating use of openmp on macOS for Python related things

This assumes you have installed the command line tools on macOS. The first two sections look into installing OpenMP from scratch. However, on macOS it might be easier just to use homebrew.

Install cmake

1. Download source from https://github.com/Kitware/CMake/releases/download/v3.15.1/cmake-3.15.1.tar.gz (there may be a later release).
2. Untar the files: tar xzvf cmake-3.15.1.tar.gz

plammens

"""
Enum union based on and compatible with the standard library's `enum`.
"""

# MIT License
#
# Copyright (c) 2020 Paolo Lammens
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal

ityonemo

A half-hour to learn Zig

This is inspired by https://fasterthanli.me/blog/2020/a-half-hour-to-learn-rust/

Basics

the command zig run my_code.zig will compile and immediately run your Zig program. Each of these cells contains a zig program that you can try to run (some of them contain compile-time errors that you can comment out to play with)

yoavg

Some remarks on Large Language Models

Yoav Goldberg, January 2023

Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.

Intro

Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We

mitchellh

I get asked pretty regularly what my opinion is on merge commits vs rebasing vs squashing. I've typed up this response so many times that I've decided to just put it in a gist so I can reference it whenever it comes up again.

I use merge, squash, rebase all situationally. I believe they all have their merits but their usage depends on the context. I think anyone who says any particular strategy is the right answer 100% of the time is wrong, but I think there is considerable acceptable leeway in when you use each. What follows is my personal and professional opinion:

rtviii

# Pablo Gainza Cirauqui 2016 LPDI IBI STI EPFL
# This pymol plugin for Masif just enables the load ply functions.

import os, sys
import math, re

from pymol import cmd, stored
import sys

from pymol import cmd, stored