Atul Acharya laventura

## normcore-llm.md

      
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                veekaybee
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                Normcore LLM Reads
              
          
    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


## whisper-audio-to-text.py
# Setup:
# conda create -n whisper python=3.9
# conda activate whisper
# https://github.com/openai/whisper
# pip install git+https://github.com/openai/whisper.git

# Usage:
# python whisper-audio-to-text.py --audio_dir my_files --out_dir texts

import argparse

## wordle.md

      
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                huytd
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              May 16, 2024 20:39
            
              
                Wordle in less than 50 lines of Bash
              
          
How to use:
./wordle.sh

Or try the unlimit mode:

  
## flappy.html
<body onload=z=c.getContext`2d`,setInterval(`c.width=W=150,Y<W&&P<Y&Y<P+E|9<p?z.fillText(S++${Y=`,9,9|z.fillRect(p`}*0,Y-=--M${Y+Y},P+E,9,W),P))):p=M=Y=S=6,p=p-6||(P=S%E,W)`,E=49) onclick=M=9><canvas id=c>

## tweet_deleting_script.py
# -*- coding: utf-8 -*-

""" Deletes all tweets below a certain retweet threshold.
"""

import tweepy
from datetime import datetime

# Constants
CONSUMER_KEY = ''

## voronoi_tree_03.R
library(flametree)  # github.com/djnavarro/flametree
library(voronoise)  # github.com/djnavarro/voronoise
library(dplyr)

# set seed
seed <- 1
set.seed(seed)

# the "flametree" itself
ftree <- flametree_grow(

## voronoi_tree_02.R
library(flametree)
library(voronoise)
library(ambient)
library(scico)
library(dplyr)

theme_mono <- voronoise:::theme_mono

ft <- flametree_grow(
  seed = 333,

## hypercropz.py
from tkinter import *
from PIL import ImageTk,Image
import time
import os

targetImageWidth = 850
targetImageHeight = 400

inputImageWidth = 0
inputImageHeight = 0

## twittermute.txt
Mute these words in your settings here: https://twitter.com/settings/muted_keywords

ActivityTweet
generic_activity_highlights
generic_activity_momentsbreaking
RankedOrganicTweet
suggest_activity
suggest_activity_feed
suggest_activity_highlights
suggest_activity_tweet

## app.R
# install.packages("mongolite")
require("mongolite")
require("tidyverse")
require("lubridate")
library(DT)

connection <- mongo(collection = "tweets", db = "tweets", url = "mongodb://localhost")

query <- '{
  "$and": [
	# Setup:
	# conda create -n whisper python=3.9
	# conda activate whisper
	# https://github.com/openai/whisper
	# pip install git+https://github.com/openai/whisper.git

	# Usage:
	# python whisper-audio-to-text.py --audio_dir my_files --out_dir texts

	import argparse
	# -- coding: utf-8 --

	""" Deletes all tweets below a certain retweet threshold.
	"""

	import tweepy
	from datetime import datetime

	# Constants
	CONSUMER_KEY = ''
	library(flametree) # github.com/djnavarro/flametree
	library(voronoise) # github.com/djnavarro/voronoise
	library(dplyr)

	# set seed
	seed <- 1
	set.seed(seed)

	# the "flametree" itself
	ftree <- flametree_grow(
	library(flametree)
	library(voronoise)
	library(ambient)
	library(scico)
	library(dplyr)

	theme_mono <- voronoise:::theme_mono

	ft <- flametree_grow(
	seed = 333,
	from tkinter import *
	from PIL import ImageTk,Image
	import time
	import os

	targetImageWidth = 850
	targetImageHeight = 400

	inputImageWidth = 0
	inputImageHeight = 0
	Mute these words in your settings here: https://twitter.com/settings/muted_keywords

	ActivityTweet
	generic_activity_highlights
	generic_activity_momentsbreaking
	RankedOrganicTweet
	suggest_activity
	suggest_activity_feed
	suggest_activity_highlights
	suggest_activity_tweet
	# install.packages("mongolite")
	require("mongolite")
	require("tidyverse")
	require("lubridate")
	library(DT)

	connection <- mongo(collection = "tweets", db = "tweets", url = "mongodb://localhost")

	query <- '{
	"$and": [