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@rain-1
rain-1 / LLM.md
Last active October 3, 2024 21:58
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.

#!/usr/local/bin/amm
//Install ammonite.io and run amm checkmft.scala or if you +x you can run it as script.
import $ivy.`net.ripe.rpki:rpki-commons:1.8.0`
import net.ripe.rpki.commons.crypto.cms.manifest.ManifestCmsParser
import java.nio.file.{Files, Paths}
@main def main(ar: String*){
val args = ar.toArray
@devlaam
devlaam / maybe.scala
Last active July 4, 2018 20:09
Handling nested contexts in Scala, a monad transformer done by hand.
/**
* Helper class to use future-options in for-comprehension-loops
* Use this class as a combined future/option so handling becomes more easy on these
* objects. Any empty options will short-circuit the future chain and any exceptions
* in a future will result in a future-none result.
* Available under MIT license.
*/
case class Maybe[+A](val maybe: Future[Option[A]]) extends AnyVal
{ import scala.util.control.NonFatal
def value = maybe.recoverWith{ case NonFatal(_) => Maybe.never }
@gvolpe
gvolpe / di-in-fp.md
Last active September 16, 2024 07:18
Dependency Injection in Functional Programming

Dependency Injection in Functional Programming

There exist several DI frameworks / libraries in the Scala ecosystem. But the more functional code you write the more you'll realize there's no need to use any of them.

A few of the most claimed benefits are the following:

  • Dependency Injection.
  • Life cycle management.
  • Dependency graph rewriting.
@SystemFw
SystemFw / Free conversation.md
Last active October 17, 2023 09:57
Explaining some of the mechanics of interpretation of Free programs

Balaji Sivaraman @balajisivaraman_twitter

Hi all, I need some help understanding a piece of Doobie code from the examples. It is the StreamingCopy one: (https://github.com/tpolecat/doobie/blob/series/0.4.x/yax/example/src/main/scala/example/StreamingCopy.scala). I am using a modified version of the fuseMap2 example from that file. Here’s how I’ve modified it for my requirements:

  def fuseMap[F[_]: Catchable: Monad, A, B](
      source: Process[ConnectionIO, A],
      sink: Vector[A] => ConnectionIO[B],
      delete: ConnectionIO[Unit]
  )(
 sourceXA: Transactor[F],

Revisiting Tagless Final Interpreters

Tageless Final interpreters are an alternative to the traditional Algebraic Data Type (and generalized ADT) based implementation of the interpreter pattern. This document presents the Tageless Final approach with Scala, and shows how Dotty with it's recently added implicits functions makes the approach even more appealing. All examples are direct translations of their Haskell version presented in the Typed Tagless Final Interpreters: Lecture Notes (section 2).

The interpreter pattern has recently received a lot of attention in the Scala community. A lot of efforts have been invested in trying to address the biggest shortcomings of ADT/GADT based solutions: extensibility. One can first look at cats' Inject typeclass for an implementation of [Data Type à la Carte](http://www.cs.ru.nl/~W.Swierstra/Publications/DataTypesA

Getting Started in Scala

This is my attempt to give Scala newcomers a quick-and-easy rundown to the prerequisite steps they need to a) try Scala, and b) get a standard project up and running on their machine. I'm not going to talk about the language at all; there are plenty of better resources a google search away. This is just focused on the prerequisite tooling and machine setup. I will not be assuming you have any background in JVM languages. So if you're coming from Python, Ruby, JavaScript, Haskell, or anywhere…  I hope to present the information you need without assuming anything.

Disclaimer It has been over a decade since I was new to Scala, and when I was new to Scala, I was coming from a Java and Ruby background. This has probably caused me to unknowingly make some assumptions. Please feel free to call me out in comments/tweets!

One assumption I'm knowingly making is that you're on a Unix-like platform. Sorry, Windows users.

Getting the JVM

Applied Functional Programming with Scala - Notes

Copyright © 2016-2018 Fantasyland Institute of Learning. All rights reserved.

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x
@androidfred
androidfred / haskell_stack_and_intellij_idea_ide_setup_tutorial_how_to_get_started.md
Last active August 8, 2024 07:24
Haskell, Stack and Intellij IDEA IDE setup tutorial how to get started

Haskell, Stack and Intellij IDEA IDE setup tutorial how to get started

Upon completion you will have a sane, productive Haskell environment adhering to best practices.

Basics

  • Haskell is a programming language.
  • Stack is tool for Haskell projects. (similar tools for other languages include Maven, Gradle, npm, RubyGems etc)
  • Intellij IDEA IDE is a popular IDE.

Install required libraries

sudo apt-get install libtinfo-dev libghc-zlib-dev libghc-zlib-bindings-dev