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@rain-1
rain-1 / LLM.md
Last active July 18, 2024 22:37
LLM Introduction: Learn Language Models

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

@ih2502mk
ih2502mk / list.md
Last active July 21, 2024 16:55
Quantopian Lectures Saved
@fnky
fnky / ANSI.md
Last active July 21, 2024 20:46
ANSI Escape Codes

ANSI Escape Sequences

Standard escape codes are prefixed with Escape:

  • Ctrl-Key: ^[
  • Octal: \033
  • Unicode: \u001b
  • Hexadecimal: \x1B
  • Decimal: 27
@jorinvo
jorinvo / challenge.md
Last active April 21, 2023 17:14
This is a little challenge to find out which tools programmers use to get their everyday tasks done quickly.

You got your hands on some data that was leaked from a social network and you want to help the poor people.

Luckily you know a government service to automatically block a list of credit cards.

The service is a little old school though and you have to upload a CSV file in the exact format. The upload fails if the CSV file contains invalid data.

The CSV files should have two columns, Name and Credit Card. Also, it must be named after the following pattern:

YYYYMMDD.csv.

@O-I
O-I / weighted_random_sampling.md
Last active February 21, 2024 19:02
[TIx 8] Weighted Random Sampling in Ruby

One of the many reasons I love working with Ruby is it has a rich vocabulary that allows you to accomplish your goals with a minimal amount of code. If there isn't a method that does exactly what you want, it's usually possible to build an elegant solution yourself.

Let's take the example of simulating the rolling of a die.

We can represent a die as an array of its faces.

die = [*?⚀..?⚅]
# => ["⚀", "⚁", "⚂", "⚃", "⚄", "⚅"]
@staltz
staltz / introrx.md
Last active July 22, 2024 09:31
The introduction to Reactive Programming you've been missing
@creationix
creationix / jsonparse.js
Last active May 10, 2024 14:36
A streaming JSON parser as an embeddable state machine.
// A streaming byte oriented JSON parser. Feed it a single byte at a time and
// it will emit complete objects as it comes across them. Whitespace within and
// between objects is ignored. This means it can parse newline delimited JSON.
function jsonMachine(emit, next) {
next = next || $value;
return $value;
function $value(byte) {
if (!byte) return;
if (byte === 0x09 || byte === 0x0a || byte === 0x0d || byte === 0x20) {
@willurd
willurd / web-servers.md
Last active July 22, 2024 08:45
Big list of http static server one-liners

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000
@hellerbarde
hellerbarde / latency.markdown
Created May 31, 2012 13:16 — forked from jboner/latency.txt
Latency numbers every programmer should know

Latency numbers every programmer should know

L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns             
Compress 1K bytes with Zippy ............. 3,000 ns  =   3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns  =  20 µs
SSD random read ........................ 150,000 ns  = 150 µs

Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs

@jboner
jboner / latency.txt
Last active July 22, 2024 00:16
Latency Numbers Every Programmer Should Know
Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference 0.5 ns
Branch mispredict 5 ns
L2 cache reference 7 ns 14x L1 cache
Mutex lock/unlock 25 ns
Main memory reference 100 ns 20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy 3,000 ns 3 us
Send 1K bytes over 1 Gbps network 10,000 ns 10 us
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD