onigetoc

{ "categories" : 
[ { "name" : "Movies",
        "videos" : [ 
		    { "description" : "Big Buck Bunny tells the story of a giant rabbit with a heart bigger than himself. When one sunny day three rodents rudely harass him, something snaps... and the rabbit ain't no bunny anymore! In the typical cartoon tradition he prepares the nasty rodents a comical revenge.\n\nLicensed under the Creative Commons Attribution license\nhttp://www.bigbuckbunny.org",
              "sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4" ],
              "subtitle" : "By Blender Foundation",
              "thumb" : "images/BigBuckBunny.jpg",
              "title" : "Big Buck Bunny"
            },
            { "description" : "The first Blender Open Movie from 2006",

onigetoc

javascript:(function() {
    "use strict";
    var TEMPLATES = [
        [/^(https?):\/\/gitlab\.com\/([^\/]+\/[^\/]+)\/(?:raw|blob)\/(.+\..+?)(?:\?.*)?$/i, '$1://gl.githack.com/$2/raw/$3'],
        [/^(https?):\/\/bitbucket\.org\/([^\/]+\/[^\/]+)\/(?:raw|src)\/(.+\..+?)(?:\?.*)?$/i, '$1://bb.githack.com/$2/raw/$3'],
        [/^(https?):\/\/bitbucket\.org\/snippets\/([^\/]+\/[^\/]+)\/revisions\/([^\/\#\?]+)(?:\?[^#]*)?(?:\#file-(.+\..+?))$/i, '$1://bb.githack.com/!api/2.0/snippets/$2/$3/files/$4'],
        [/^(https?):\/\/bitbucket\.org\/snippets\/([^\/]+\/[^\/\#\?]+)(?:\?[^#]*)?(?:\#file-(.+\..+?))$/i, '$1://bb.githack.com/!api/2.0/snippets/$2/HEAD/files/$3'],
        [/^(https?):\/\/bitbucket\.org\/\!api\/2.0\/snippets\/([^\/]+\/[^\/]+\/[^\/]+)\/files\/(.+\..+?)(?:\?.*)?$/i, '$1://bb.githack.com/!api/2.0/snippets/$2/files/$3'],
        [/^(https?):\/\/api\.bitbucket\.org\/2.0\/snippets\/([^\/]+\/[^\/]+\/[^\/]+)\/files\/(.+\..+?)(?:\?.*)?$/i, '$1://bb.githack.com/!api/2.0/snippets/$2/files/$3'],
        [/^(

onigetoc

// The events are from https://www.w3.org/TR/html5/semantics-embedded-content.html#media-elements-event-summary
import videojs from 'video.js'

const Plugin = videojs.getPlugin('plugin')
const EVENTS = [
  'loadstart',
  'progress',
  'suspend',
  'abort',
  'error',

onigetoc

/**
 * Chunkify
 * Google Chrome Speech Synthesis Chunking Pattern
 * Fixes inconsistencies with speaking long texts in speechUtterance objects 
 * Licensed under the MIT License
 *
 * Peter Woolley and Brett Zamir
 */
 
var speechUtteranceChunker = function (utt, settings, callback) {

onigetoc

var document;

var dbg = (typeof console !== 'undefined') ? function(s) {
    console.log("Readability: " + s);
} : function() {};

/*
 * Readability. An Arc90 Lab Experiment. 
 * Website: http://lab.arc90.com/experiments/readability
 * Source:  http://code.google.com/p/arc90labs-readability

onigetoc

/** 
 * If there are service workers available to us, then on window load we can register our worker
 */
'serviceWorker' in navigator && window.addEventListener('load', () => {
  navigator.serviceWorker.register('worker.js')
    .then(() => {
      // Registration was successful
      console.log('ServiceWorker registration successful!');
    }, (err) => {
      // registration failed :(

onigetoc

/**
 * Simple Node.js script to turn a specific page on a Google Sheet
 * into a JSON object for the main purpose of HTML Templating.
 * 
 * @author jonobr1 / http://jonobr1.com
 * 
 */

var https = require('https');
var path = require('path');

onigetoc

/*
 * twitter-entities.js
 * This function converts a tweet with "entity" metadata 
 * from plain text to linkified HTML.
 *
 * See the documentation here: http://dev.twitter.com/pages/tweet_entities
 * Basically, add ?include_entities=true to your timeline call
 *
 * Copyright 2010, Wade Simmons
 * Licensed under the MIT license

onigetoc

[
  { "code": "aa", "name": "Afar" },
  { "code": "ab", "name": "Abkhazian" },
  { "code": "ae", "name": "Avestan" },
  { "code": "af", "name": "Afrikaans" },
  { "code": "ak", "name": "Akan" },
  { "code": "am", "name": "Amharic" },
  { "code": "an", "name": "Aragonese" },
  { "code": "ar", "name": "Arabic" },
  { "code": "as", "name": "Assamese" },

onigetoc

Prompt Chaining with QwQ, Qwen, o1-mini, Ollama, and LLM

Here we explore prompt chaining with local reasoning models in combination with base models. With shockingly powerful local models like QwQ and Qwen, we can build some powerful prompt chains that let us tap into their capabilities in a immediately useful, local, private, AND free way.

Explore the idea of building prompt chains where the first is a powerful reasoning model that generates a response, and then use a base model to extract the response.

Play with the prompts and models to see what works best for your use cases. Use the o1 series to see how qwq compares.

Setup

• Bun (to run bun run chain.ts ...)