Hellisotherpeople

You probably don't know how to do Prompt Engineering

(This post could also be titled "Features missing from most LLM front-ends that should exist")

Apologies for the snarky title, but there has been a huge amount of discussion around so called "Prompt Engineering" these past few months on all kinds of platforms. Much of it is coming from individuals who are peddling around an awful lot of "Prompting" and very little "Engineering".

Most of these discussions are little more than users finding that writing more creative and complicated prompts can help them solve a task that a more simple prompt was unable to help with. I claim this is not Prompt Engineering. This is not to say that crafting good prompts is not a difficult task, but it does not involve doing any kind of sophisticated modifications to general "template" of a prompt.

Others, who I think do deserve to call themselves "Prompt Engineers" (and an awful lot more than that), have been writing about and utilizing the rich new eco-system

johnazariah

public static partial class LinqExtensions
{
    public static Maybe<C> SelectMany<A, B, C>(this Maybe<A> ma, Func<A, Maybe<B>> f, Func<A, B, C> select) => ma.Bind(a => f(a).Map(b => select(a, b)));
}

oguzhane

    public class Pipeline<T>
    {

        private IList<Func<Func<T, Task>, Func<T, Task>>> _middleware;
        public Pipeline()
        {
            _middleware = new List<Func<Func<T, Task>, Func<T, Task>>>();
        }
        public Pipeline<T> Use(Func<Func<T, Task>, Func<T, Task>> middleware)
        {

antirez

# LVDB - LLOOGG Memory DB
# Copyriht (C) 2009 Salvatore Sanfilippo <antirez@gmail.com>
# All Rights Reserved

# TODO
# - cron with cleanup of timedout clients, automatic dump
# - the dump should use array startsearch to write it line by line
#   and may just use gets to read element by element and load the whole state.
# - 'help','stopserver','saveandstopserver','save','load','reset','keys' commands.
# - ttl with milliseconds resolution 'ttl a 1000'. Check ttl in dump!

jdegoes

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

garybernhardt

This document has moved!

It's now here, in The Programmer's Compendium. The content is the same as before, but being part of the compendium means that it's actively maintained.

expipiplus1

Multi user nix installation

Each section should be run as the user or as root, pay attention to which one!

Install nix single user

As $USER

curl https://nixos.org/nix/install | sh

tlberglund

Distributed Systems Reading List

Links for Further Reading

• You Can't Sacrifice Partition Tolerance
• Twitter conversation with Jay Kreps about Vector Clocks
• Why Cassandra Doesn't Need Vector Clocks
• Why Vector Clocks are Easy
• Why Vector Clocks are Hard
• Cache is the New RAM
• Neat Algorithms: Paxos

ryanflorence

.
├── actions
├── stores
├── views
│   ├── Anonymous
│   │   ├── __tests__
│   │   ├── views
│   │   │   ├── Home
│   │   │   │   ├── __tests__
│   │   │   │   └── Handler.js

staltz

The introduction to Reactive Programming you've been missing

(by @andrestaltz)

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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.

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