William Rory Kronmiller wkronmiller

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.

Neural network links before starting with transformers.

	import fs from 'node:fs';

	const conversations = JSON.parse(fs.readFileSync('conversations.json', 'utf8'));


	function unpackMapping(currentNode, mapping) {
	const conversation = [];
	let node = mapping[currentNode];
	while (node) {
	const message = node.message;

	[
	{
	"action": {
	"type": "block"
	},
	"trigger": {
	"url-filter": "https://www.youtube.com/api/stats/ads.*"
	}
	},
	{

	echo '' > input.xcfilelist
	find Carthage/Build/iOS -name *.framework -exec echo '$(SRCROOT}'/{} \; >> input.xcfilelist

	echo '' > output.xcfilelist
	find Carthage/Build/iOS -name *.framework -exec basename {} \; \| xargs -I {} -n1 echo '$(BUILT_PRODUCTS_DIR)/$(FRAMEWORKS_FOLDER_PATH)/'{} >> output.xcfilelist

	const getCookies = () =>
	document.cookie
	.split(/;*\s/)
	.map(str => { const [key, value] = str.split('='); return { [key]: value } } )
	.reduce((a,b) => Object.assign(a,b))

	#!/bin/bash
	convert -density 300 $1 -depth 8 -fill white -background white -alpha Off out.tiff && tesseract out.tiff $1 pdf && rm -f out.tiff