searls

require "faker"

def lorem_paragraphs
  rand(2..4).times.map {
    rand(4..6).times.map {
      Faker::Lorem.sentence(word_count: rand(10..40))
    }.join(" ")
  }.join("\n\n")
end

adtac

#!/usr/bin/env -S bash -c "docker run -p 8080:8080 -it --rm \$(docker build --progress plain -f \$0 . 2>&1 | tee /dev/stderr | grep -oP 'sha256:[0-9a-f]*')"

# syntax = docker/dockerfile:1.4.0

FROM node:20

WORKDIR /root

RUN npm install sqlite3

cpursley

PostgreSQL is Enough

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database
• Postgres is eating the database world
• Hacker News discussion

Background and Cron Jobs

rain-1

This worked on 14/May/23. The instructions will probably require updating in the future.

llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)

Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.

It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.

• Clone llama.cpp from git, I am on commit 08737ef720f0510c7ec2aa84d7f70c691073c35d.

lizthegrey

default['sshd']['sshd_config']['AuthenticationMethods'] = 'publickey,keyboard-interactive:pam'
default['sshd']['sshd_config']['ChallengeResponseAuthentication'] = 'yes'
default['sshd']['sshd_config']['PasswordAuthentication'] = 'no'

swalkinshaw

Moved to Shopify/graphql-design-tutorial

depp

// Faster solution for:
// http://www.boyter.org/2017/03/golang-solution-faster-equivalent-java-solution/
// With threading.
// g++ -std=c++11 -Wall -Wextra -O3 -pthread

// On my computer (i5-6600K 3.50 GHz 4 cores), takes about ~160 ms after the CPU
// has warmed up, or ~80 ms if the CPU is cold (due to Turbo Boost).

// How it works: Start by generating a list of losing states -- states where the
// game can end in one turn.  Generate a new list of states by running the game

keithpitt

# Add this file to `spec/support/rails_log_splitter.rb`

require "stringio"
require "logger"
require "fileutils"

class RailsLogSplitter
  def initialize(all: false)
    @io = StringIO.new
    @logger = Logger.new(@io)

postpostscript

#!/bin/sh

command="${*}"
printf "Initialized REPL for `%s`\n" "$command"
printf "%s> " "$command"
read -r input
while [ "$input" != "" ];
do
    eval "$command $input"
    printf "%s> " "$command"

sj26

[Unit]
Description=Buildkite Agents
Documentation=https://buildkite.com/agent
[email protected]
[email protected]
# ...

[Service]
Type=oneshot
ExecStart=/bin/true