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How large are large language models? (2025)

This aims to be factual information about the size of large language models. None of this document was written by AI. I do not include any information from leaks or rumors. The focus of this document is on base models (the raw text continuation engines, not 'helpful chatbot/assistants'). This is a view from a few years ago to today of one very tiny fraction of the larger LLM story that's happening.

History

GPT-2,-medium,-large,-xl (2019): 137M, 380M, 812M, 1.61B. Source: openai-community/gpt2. Trained on the unreleased WebText dataset said to 40GB of Internet text - I estimate that to be roughly 10B tokens. You can see a list of the websites that went into that data set here domains.txt.
GPT-3 aka davinci, davinci-002 (2020): 175B parameters. There is a good breakdown of how those parameters are 'spent' here [How d

Bypass disable-devtool

(Working as of 2025-02-09)

There are websites that use disable-devtool to prevent you from opening or using devtools. They typically prevent you from right clicking or using the keyboard shortcut to open devtools. Even if you successfully do so, they detect it and redirect you elsewhere. You can bypass this by using one of the following ways.

Opening devtools

If the shortcut F12 on Windows or Option + ⌘ + I on Mac do not work. Press the three vertically aligned dots in the top right corner of your Google Chrome or Microsoft Edge window. Under the section "More Tools", you'll see the option to select "Developer Tools" which opens the toolkit in your window.

This is the prompt I use for speaker identification in citymeetings.nyc as of March 23rd, 2024 -- the date of my NYC School of Data talk.

Open Source Business Challenges and Reality

Original Japanese note here.

Original Author: Rui Ueyama (creator of the mold linker)

Translated by @windowsboy111

Minimally edited by @lleyton

Automating Daily Reports, because fuck it, really...

Each day at our company, developers are required to document their activities, painstakingly jotting down their daily work and future plans. A monotonous chore that I just really dislike.

So now, there's a scribe for that :

Code

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.

Prelude

Neural network links before starting with transformers.

	# Drop this into Automator using Python 3 as the shell

	from sys import stdin
	from json import dumps, loads
	from urllib.parse import urlencode
	from urllib.request import Request, urlopen

	AZURE_ENDPOINT="getyourowndeployment.openai.azure.com"
	OPENAI_API_KEY="getyourownkey"
	OPENAI_API_VERSION="2023-05-15"

	import json
	import os
	from collections import deque

	root_dir = '~/slack_messages'

	target_user = "UMQN69N8M"
	res = []

	for dirpath, dirnames, filenames in os.walk(root_dir):

	{"ISO 693-3":"aaa","Language Name":"Ghotuo","Language Family":"Niger-Congo","Subgrouping":"Atlantic-Congo","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aaa"}
	{"ISO 693-3":"aab","Language Name":"Arum","Language Family":"Niger-Congo","Subgrouping":"Atlantic-Congo","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aab"}
	{"ISO 693-3":"aac","Language Name":"Ari","Language Family":"Trans-New Guinea","Subgrouping":"Gogodala-Suki","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aac"}
	{"ISO 693-3":"aad","Language Name":"Amal","Language Family":"Sepik","Subgrouping":"Iwam","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aad"}
	{"ISO 693-3":"aaf","Language Name":"Aranadan","Language Family":"Dravidian","Subgrouping":"Southern","ASR":false,"TTS":false,"LID":true,"":"https://www.ethnologue.com/language/aaf"}
	{"ISO 693-3":"aai","Language Name":"Miniafia Oyan","Language Family":"Austronesian","Subgrouping":"Malayo-Pol

	const SECRET_KEY = ENTER YOUR SECRET KEY HERE;
	const MAX_TOKENS = 200;

	// For more cool AI snippets and demos, follow me on Twitter: https://twitter.com/_abi_

	/**
	* Completes your prompt with GPT-3
	*
	* @param {string} prompt Prompt
	* @param {number} temperature (Optional) Temperature. 1 is super creative while 0 is very exact and precise. Defaults to 0.4.