Atul Acharya laventura

This guide is adapted from this original post by Christopher Charles.

Project Setup

1. Get the source:

Clone the MLX Swift Examples GitHub repository:

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

Learning Rust

Getting Started + Installation | Cheat Sheet

	# 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