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

kconner

macOS Internals

Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.

Starting Points

How to use this gist

You've got two main options:

psifertex

Welcome to Jordan's grab-bag of common Binary Ninja Snippets.

These snippest are meant to run with the Binary Ninja Snippets Plugin
(http://github.com/Vector35/snippets) though they can all also be pasted
directly into the python console or turned into stand-alone plugins if needed.

To install the entire collection at once, just install the Snippets plugin via
the plugin manager (CMD/CTL-SHIFT-M), confirm the Snippet Editor works
(Tool/Snippets/Snippet Editor), and unzip this bundle (Download ZIP above) into
your Snippets folder.

ChrisPenner

Optics By Example Cheat Sheets

The following are appendices from Optics By Example, a comprehensive guide to optics from beginner to advanced! If you like the content below, there's plenty more where that came from; pick up the book!

• Operators
• Composition Guide
• Substitution Guide
• Optical Constarints and Types

Operator Cheat Sheet

mihkell

import numpy as np
import tensorflow as tf


input_tensor = tf.constant(1, dtype=tf.int64)
keys = tf.constant(np.array([1,2,3]),  dtype=tf.int64)
values = tf.constant(np.array([4,5,6]),  dtype=tf.int64)
default_value = tf.constant(-1,  dtype=tf.int64)

table = tf.contrib.lookup.HashTable(

withzombies

/*
        Copyright (c) 2011, Thomas Dullien
        All rights reserved.

        Redistribution and use in source and binary forms, with or without 
        modification, are permitted provided that the following conditions
        are met:

        Redistributions of source code must retain the above copyright notice,
        this list of conditions and the following disclaimer. Redistributions 

withzombies

#!/usr/bin/env python

# Copyright 2017 Ryan Stortz (@withzombies)
# 
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# 
#     http://www.apache.org/licenses/LICENSE-2.0
# 

scottdw

(ns stats)

(defn mode [vs]
  (let [fs (frequencies vs)]
    (first (last (sort-by second fs)))))

(defn quantile
  ([p vs]
     (let [svs (sort vs)]
       (quantile p (count vs) svs (first svs) (last svs))))

erikh

#!/usr/bin/env sh

##
# This is script with usefull tips taken from:
#   https://github.com/mathiasbynens/dotfiles/blob/master/.osx
#
# install it:
#   curl -sL https://raw.github.com/gist/2108403/hack.sh | sh
#

dcernst

% --------------------------------------------------------------
% This is all preamble stuff that you don't have to worry about.
% Head down to where it says "Start here"
% --------------------------------------------------------------
 
\documentclass[12pt]{article}
 
\usepackage[margin=1in]{geometry} 
\usepackage{amsmath,amsthm,amssymb}