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#!/bin/bash

pip --disable-pip-version-check list --outdated --format=json | python -c "import json, sys; print('\n'.join([x['name'] for x in json.load(sys.stdin)]))" | xargs -n1 pip install -U

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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.

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{
    "anytime" : [
        "Hey there sexy!",
        "I hope your day is as nice as your face!",
        "Have you been working out?",
        "I'm lucky to be your mirror!",
        "The Force is strong with you",
        "If I could high five you... I would!",
        "On a scale from 1 to 10, you're an 15!",
        "Being awesome is hard, but you'll manage",

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{
    "anytime" : [
        "Hey there sexy!",
        "I hope your day is as nice as your face!",
        "Have you been working out?",
        "I'm lucky to be your mirror!",
        "The Force is strong with you",
        "If I could high five you... I would!",
        "On a scale from 1 to 10, you're an 15!",
        "Being awesome is hard, but you'll manage",

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
This script will automate reporting malware to the npm team.
It automates reporting via https://npmjs.com/support.

Before using it, either ensure you have the Requests module installed, or install it with
`pip install requests`.

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#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
The purpose of this script is to scan a directory (default: ports) for
port configuration files that contain http-based URLS, and convert
them to https if possible.

It only looks for files with an extension of .cmake or .json.

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# Download JSON files for CVEs from https://nvd.nist.gov/vuln/data-feeds
# Extract JSON
# Fire up WSL or a Linux terminal. Make sure you have jq installed.

# Run this, send to a CSV file and then open/sort/whatever in Excel.
cat nvdcve-1.1-2021.json | jq '.CVE_Items[].cve | .CVE_data_meta.ID + ", " + .problemtype.problemtype_data[].description[].value' | cut -d\" -f2

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#!/usr/bin/python

# License: MIT
# Author: Michael Scovetta <[email protected]>

import re
import sys

"""
Usage:

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#!/bin/bash

# Takes a list of URLs (output from ishttps) and turns them into a massive sed replacement script.

FILENAME="$1"
echo "sed -i '"
while read -r url; do
	ESC_IN=$(echo "$url" | sed -e 's/[]\/$*.^[]/\\&/g')
	ESC_OUT=$(echo "$ESC_IN" | sed -e 's/http:/https:/')
	

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 <!--
 Source:
 https://blogs.microsoft.com/microsoftsecure/2017/09/07/new-iis-functionality-to-help-identify-weak-tls-usage/
 -->
 
 <site name="Default Web Site" id="1" serverAutoStart="true">
   <application path="/">
     <virtualDirectory path="/" physicalPath="C:\inetpub\wwwroot" />
   </application>
   <bindings>