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Ultralearning

The following is the notes I took years ago on the book Ultralearning by Scott Young. The bombastic title and promise to learn virtually anything quickly makes it sound as if its the typical marketing-powered fluff-filled nonfiction book stores are overflowing with, but something about this book stuck with me. After finishing it I quickly went back and wrote these thoughts down. While I don't follow his layout of plans regularly, I have used it to guide a lot of my own self education.

I've successfully utilized it when I needed to refresh on mathematics for my Master's degree (a host of skills that atrophied sigificantly for the dozen years between undergrad and the masters). I've also used it to self-study subjects like Robotics and Deep Learning (though I did decide in the end to go for the Master's accreditation).

I share it here with hopes that someone finds it useful.

---

Principle 1 - Metalearning

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"""
The most atomic way to train and inference a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

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<div data-paperform-id="jwps"></div>
// Note: Please don't change/format the below line no 3. Keep as it is.
<script>(function () { var script = document.createElement('script'); script.src = "https://paperform.co/__embed.min.js"; document.body.appendChild(script); })()</script>

<script>
    (function () {
      const currentPageUrl = window.location.href;
      const form = document.querySelector("[data-paperform-id='jwps']");
      // formsubmiturl is your custom Pre-fill key:
      form.setAttribute('prefill', "formsubmiturl=" + currentPageUrl);

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//------ ROOT --------
root# apt-get update
root# apt-get upgrade


// Dependencies
apt-get install -y git-core curl zlib1g-dev build-essential libssl-dev libreadline-dev libyaml-dev \
  libsqlite3-dev sqlite3 libxml2-dev libxslt1-dev libcurl4-openssl-dev software-properties-common libffi-dev \
  libpcre3-dev unzip htop zip
 

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Add puma to you Gemfile:

gem "puma"

Install Puma Gem

change to project directory
bundle install

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// Source: https://twitter.com/calebporzio/status/1151876736931549185

<div class="flex">
    <aside class="h-screen sticky top-0">
        // Fixed Sidebar
    </aside>
    
    <main>
        // Content
    </main>

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<div class="form-group">
  <%= form.label :type, "Type", class: "font-weight-bold" %>
  <%= form.select :type, ['TextQuestion', 'UrlQuestion'], { include_blank: true }, { class: "form-control", data: { action: "input->toggle#changed", target: "toggle.select" } } %>
</div>
<div class="form-group">
  <%= form.label :name, "Name", class: "font-weight-bold" %>
  <%= form.text_field :name, class: "form-control" %>
</div>
<div class="form-group" data-target="toggle.element" data-values="UrlQuestion">
  <%= form.label :url, "URL", class: "font-weight-bold" %>

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<?php
$countries =
 
array(
"AF" => "Afghanistan",
"AL" => "Albania",
"DZ" => "Algeria",
"AS" => "American Samoa",
"AD" => "Andorra",
"AO" => "Angola",

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#!/bin/bash

set -e

echo "> Removing certificate"
sudo security delete-certificate -c localhost || true

echo "> Generating .key"
sudo openssl genrsa -out config/localhost.key 4096

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Rails 4 is out featuring Russian Doll caching (AKA Cache Digests). In this article, I apply Russian Doll caching to one of my poorer performing Rails 3 pages using the cache_digests gem.

ActionView templates are great. They are easy to code, manage and extend but the one thing they are not is fast...at least not out of the box.

In this article, I'll be using AppNeta's TraceView to time ActionView performance. If you haven't used TraceView before, checkout my previous article Instrumenting Ruby on Rails with TraceView.

ActionView is Slow; Pitfalls Ahead

ActionView puts forth a great development pattern of views and partials that is easy to understand, implement and maintain but that comes at a cost: The rendering process is complex and slow.