kevin-cantwell

package main

import (
	"bytes"
	"context"
	"fmt"
	"image"
	"image/gif"
	"io"
	"os"

tkshill

Introduction

This document serves as a way for this project's maintainers to document their process of getting their repository ready for the 2020 Hacktoberfest alongside the Virtual Coffee Hacktoberfest Initiative. We also hope this project continues beyond just Hacktoberfest, and so we thought it best to collect all the knowledge, resources and learnings we pick up along the way in one central place, both for our own reflection, as well as sometimes that others can use to create welcoming and valuable spaces for their own open source contributions.

While we will try as best as possible to create a body of knowledge that is accessible and understandable to everyone who finds it, we hope you understand that this may not always be as comprehensive, current or exact as you may want to be. The language will be more candid that you might find in your typical technical documentation, and YMMV _(Your

eliben

// StackOverflow analysis using its API in Go.
//
// Eli Bendersky [https://eli.thegreenplace.net]
// This code is in the public domain.
package main

import (
	"encoding/json"
	"flag"
	"fmt"

johnfosborneiii

import (
	"encoding/json"
)

#Predicate: {
    Data: string
    Timestamp: string
}

#ExternalRefs: {

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