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Draft Article: Harnessing the Power of 1 Million Tokens with Hypergraph Prompting

Introduction:

Building prompts for one million token context windows necessitates a complete reimagining of how prompts are created, signaling a pivotal transformation in artificial intelligence with the introduction of Google's Gemini 1.5. This groundbreaking advancement, featuring an extensive context window of 1 million tokens, challenges us to devise innovative approaches like hypergraph prompting. This method intricately weaves together the spatial, temporal, relational, and executional dimensions of data, creating a visual and logical fabric of connections that mirrors the interconnected spirals of a DNA strand, to navigate and effectively leverage this vast informational expanse.

Understanding the Scale of a 1 Million Token Context Window:

Imagine a context window of 1 million tokens as a vast library containing hundreds of books, thousands of pages, or hours of multimedia content, all accessible in a sing

Converting audio to AAC with Fraunhofer FDK AAC (libfdk_aac) in FFmpeg

Check if you have an FFmpeg build supporting libfdk_aac

Run:

ffmpeg -hide_banner -h encoder=libfdk_aac

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Simple: Fixed Delta Time

let mut t: 0.0;
let dt = 1.0 / 60.0;

loop {
    update(t, dt);
    render();

	#imports
	from PIL import Image
	import numpy
	import pytoshop
	from pytoshop.user import nested_layers
	from pytoshop import enums
	from pytoshop.image_data import ImageData

	#Convert Pillow image to pyto layer (not fool proof by anymeans)
	def pillow_image_to_pyto_image(name, image, x, y, visible, opacity, group_id, blend_mode, metadata, layer_color, color_mode, width = 0, height = 0):

	/**
	* Generate all the possible combinations among a set of nested arrays.
	*
	* @param array $data The entrypoint array container.
	* @param array $all The final container (used internally).
	* @param array $group The sub container (used internally).
	* @param mixed $val The value to append (used internally).
	* @param int $i The key index (used internally).
	*/
	function generate_combinations(array $data, array &$all = array(), array $group = array(), $value = null, $i = 0)

	<section class="collection-blocks">

	{% for block in section.blocks %}

	{%- assign collection = collections[block.settings.collection] -%}

	{% if block.settings.collection-title != blank %}
	<h2 class="collection-blocks__collection-title">{{ block.settings.collection-title \| escape }}</h2>
	{% else %}
	<h2>{{ collection.title }}</h2>

	#!/usr/bin/env python3
	# -- coding: utf-8 --
	"""Convert a music .cue file into a label file.

	This module will accept an optional string attribute that specifies the input
	.cue file. If this file is not provided in the call then file-select box will
	be presented to the user. Output is a .txt file of labels that can be input
	into Audacity.

	Examples:

	#!/usr/bin/awk -f

	# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
	# My copy here is written in awk instead of C, has no compelling benefit.
	# Public domain. @thingskatedid

	# Run as awk -v x=xyz ... or env variables for stuff?
	# Assumptions: the data is evenly spaced along the x-axis

	# TODO: moving average

	1 AC_BR_BONANZA Too many newlines in a row... spammy template
	2 ACCESSDB Message would have been caught by accessdb
	3 ACCT_PHISHING_MANY Phishing for account information
	4 AC_DIV_BONANZA Too many divs in a row... spammy template
	5 AC_FROM_MANY_DOTS Multiple periods in From user name
	6 AC_HTML_NONSENSE_TAGS Many consecutive multi-letter HTML tags, likely nonsense/spam
	7 AC_POST_EXTRAS Suspicious URL
	8 AC_SPAMMY_URI_PATTERNS10 link combos match highly spammy template
	9 AC_SPAMMY_URI_PATTERNS11 link combos match highly spammy template
	10 AC_SPAMMY_URI_PATTERNS12 link combos match highly spammy template