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

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

---

This tutorial as a series of videos

If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.

---

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

Flafla2

public class Perlin {

	public int repeat;
	
	public Perlin(int repeat = -1) {
		this.repeat = repeat;
	}

	public double OctavePerlin(double x, double y, double z, int octaves, double persistence) {
		double total = 0;

p120ph37

#!/usr/bin/expect -f
#
# VIPAccess.exp
#
# Command-line emulation of Symantec's VIP Access software token.
# Usage:
#  ./VIPAccess.exp [v]
# If the "v" argument (or any argument) is specified, verbose output
# will be produced on stderr.  The OTP value will be output on stdout.
#

jchandra74

Pimping Up Your PowerShell & Cmder with Posh-Git, Oh-My-Posh, & Powerline Fonts

Backstory (TLDR)

I work as a full-stack developer at work. We are a Windows & Azure shop, so we are using Windows as our development platform, hence this customization.

For my console needs, I am using Cmder which is based on ConEmu with PowerShell as my shell of choice.

Yes, yes, I know nowadays you can use the Linux subsystem on Windows 10 which allow you to run Ubuntu on Windows. If you are looking for customization of the Ubuntu bash shell, check out this article by Scott Hanselman.

kovetskiy

#!/bin/bash
###
### my-script — does one thing well
###
### Usage:
###   my-script <input> <output>
###
### Options:
###   <input>   Input file to read.
###   <output>  Output file to write. Use '-' for stdout.

hadley

If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?

I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:

• Statistical knowledge
• Programming/hacking skills
• Domain expertise

Statistical knowledge

ckandoth

Ensembl's VEP (Variant Effect Predictor) is popular for how it picks a single effect per gene as detailed here, its CLIA-compliant HGVS variant format, and Sequence Ontology nomenclature for variant effects.

Instead of the official instructions, we will use conda to install VEP and its dependencies. If you don't already have conda, install it into $HOME/miniconda3 as follows:

curl -sL https://repo.anaconda.com/miniconda/Miniconda3-py37_4.9.2-Linux-x86_64.sh -o /tmp/miniconda.sh
sh /tmp/miniconda.sh -bfp $HOME/miniconda3

Add the conda bin folder into your $PATH so that all installed tools are accessible via command-line. You can also add this to your ~/.bashrc

aileftech

$ grep -P "^[ABCDEFabcdefOoIi]{6,6}$" /usr/share/dict/words | tr 'OoIi' '0011' | tr '[:lower:]' '[:upper:]' | awk '{print "#" $0}' 
#ACAD1A
#B0BB1E
#DEBB1E
#AB1DED
#ACAC1A
#ACCEDE
#AC1D1C
#BAB1ED
#BA0BAB