terretta

Extracting financial disclosure reports and police blotter narratives using OpenAI's Structured Output

tl;dr this demo shows how to call OpenAI's gpt-4o-mini model, provide it with URL of a screenshot of a document, and extract data that follows a schema you define. The results are pretty solid even with little effort in defining the data — and no effort doing data prep. OpenAI's API could be a cost-efficient tool for large scale data gathering projects involving public documents.

OpenAI announced Structured Outputs for its API, a feature that allows users to specify the fields and schema of extracted data, and guarantees that the JSON output will follow that specification.

For example, given a Congressional financial disclosure report, with assets defined in a table like this:

How to keep using adblockers on chrome and chromium

google's manifest v3 has no analouge to the webRequestBlocking API, which is neccesary for (effective) adblockers to work
starting in chrome version 127, the transition to mv3 will start cutting off the use of mv2 extensions alltogether
this will inevitably piss of enterprises when their extensions don't work, so the ExtensionManifestV2Availability key was added and will presumably stay forever after enterprises complain enough

You can use this as a regular user, which will let you keep your mv2 extensions even after they're supposed to stop working

Linux

In a terminal, run:

These are some of the Stable Diffusion references people have made listing hundreds of artist styles.

Flux

https://cheatsheet.strea.ly/

Stable Diffusion

https://supagruen.github.io/StableDiffusion-CheatSheet/
https://rentry.org/artists_sd-v1-4 backed up as single page on http://xosh.org/sd_1.4_list_of_artists/

	#cloud-config

	# Enable automatic package updates and upgrades during cloud-init execution
	package_update: true
	package_upgrade: true

	packages:
	# Security and Hardening
	- ufw
	- fail2ban

	#!/bin/bash

	# Define the main export folder
	export_folder=~/Desktop/iMessages_Export
	mkdir -p "$export_folder"

	# Part 1: Generate the CSV file
	echo "Generating CSV file..."

	sqlite3 ~/Library/Messages/chat.db <<EOF

	<!DOCTYPE html>
	<html lang="en">

	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>My Angular from Scratch</title>
	<style>
	.my-component {
	font-family: Arial, sans-serif;

	VERSION = \"1.0.0\"

	PREFIX ?= out
	INCDIR = include
	SRCDIR = src
	LANG = c
	OBJDIR = .obj

	MODULE ?= binary_name
	CC ?= gcc

	// I'm tired of extensions that automatically:
	// - show welcome pages / walkthroughs
	// - show release notes
	// - send telemetry
	// - recommend things
	//
	// This disables all of that stuff.
	// If you have more config, leave a comment so I can add it!!

	{

	# STEP 1: Load

	# Load documents using LangChain's DocumentLoaders
	# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html

	from langchain.document_loaders.csv_loader import CSVLoader
	loader = CSVLoader(file_path='./example_data/mlb_teams_2012.csv')
	data = loader.load()

	#!/usr/bin/env bb
	; =========================================================================== ;
	; FILE: hack-captive-portal.bb ;
	; USAGE: sudo bb hack-captive-portal.bb ;
	; ;
	; DESCRIPTION: This script helps to pass through the captive portals in ;
	; public Wi-Fi networks. It hijacks IP and MAC from somebody ;
	; who is already connected and authorized on captive portal. ;
	; Tested in Ubuntu 16.04 with different captive portals in ;
	; airports and hotels all over the world. ;