rain-1

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.

unrealwill

import tensorflow as tf #We need tensorflow 2.x
import numpy as np

#The hashlength in bits
hashLength = 256

def buildModel():
    #we can set the seed to simulate the fact that this network is known and doesn't change between runs
    #tf.random.set_seed(42)
    model = tf.keras.Sequential()

citruz

Running Linux and Windows on M1 with QEMU

30.11.2020: Updated with the new patchseries and instructions for Windows

02.12.2020: Added tweaks

08.12.2020: Updated with patchseries v4

31.01.2020: Updated with patchseries v6

seovchinnikov

# -*- coding: utf-8 -*-
"""ResNet50 model for Keras with fused intermediate layers

# Reference:
    https://arxiv.org/pdf/1604.00133.pdf


Adapted from original resnet
"""
from __future__ import print_function

rspeer

rain-1

WannaCry|WannaDecrypt0r NSA-Cyberweapon-Powered Ransomware Worm

• Virus Name: WannaCrypt, WannaCry, WanaCrypt0r, WCrypt, WCRY
• Vector: All Windows versions before Windows 10 are vulnerable if not patched for MS-17-010. It uses EternalBlue MS17-010 to propagate.
• Ransom: between $300 to $600. There is code to 'rm' (delete) files in the virus. Seems to reset if the virus crashes.
• Backdooring: The worm loops through every RDP session on a system to run the ransomware as that user. It also installs the DOUBLEPULSAR backdoor. It corrupts shadow volumes to make recovery harder. (source: malwarebytes)
• Kill switch: If the website www.iuqerfsodp9ifjaposdfjhgosurijfaewrwergwea.com is up the virus exits instead of infecting the host. (source: malwarebytes). This domain has been sinkholed, stopping the spread of the worm. Will not work if proxied (source).

update: A minor variant of the viru

alkrauss48

# By default, Docker containers run as the root user. This is bad because:
#   1) You're more likely to modify up settings that you shouldn't be
#   2) If an attacker gets access to your container - well, that's bad if they're root.
# Here's how you can run change a Docker container to run as a non-root user

## CREATE APP USER ##

# Create the home directory for the new app user.
RUN mkdir -p /home/app

bi1yeu

New OS X Computer Setup

Below are the programs I install, the Preferences I change, and the configurations I tweak after doing a fresh install of macOS.

Homebrew / Cask

http://brew.sh/

$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

pandafulmanda

Python3 Virtualenv Setup

Requirements

• Python 3
• Pip 3

$ brew install python3

dannguyen

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs