Shashi Kumar Nagulakonda iamsingularity

An Awesome Collection of Interesting Jupyter Notebooks

This page is a curated collection of Jupyter/IPython notebooks that are notable. Feel free to add new content here, but please try to only include links to notebooks that include interesting visual or technical content; this should not simply be a dump of a Google search on every ipynb file out there.

Important contribution instructions: If you add new content, please ensure that for any notebook you link to, the link is to the rendered version using nbviewer, rather than the raw file. Simply paste the notebook URL in the nbviewer box and copy the resulting URL of the rendered version. This will make it much easier for visitors to be able to immediately access the new content.

Note that Matt Davis has conveniently written a set of bookmarklets and extensions to make it a one-click affair to load a Notebook URL into your browser of c

NOTE

These are NOT product / license keys that are valid for Windows activation.
These keys only select the edition of Windows to install during setup, but they do not activate or license the installation.

Index

Windows 11
RTM Generic Keys

Advanced Distributed System Design Course - Udi Dahan

Notes by Craig Phillips

Fallacies of Distributed Computing

There are 11 fallacies of Distributed Computing:
1. The network is reliable
2. Latency isn’t a problem
3. Bandwidth isn’t a problem
4. The network is secure

The topology won’t change

Windows - Hacky AHK Script

#SingleInstance Force
#NoEnv
#Warn
SendMode Input
EnvGet, A_LocalAppData, LocalAppData
Run, %A_LocalAppData%\1Password\app\8\1Password.exe
WinWait, 1Password
Send PASSWORD{Enter}

title	author	date
GPU Computing and Its Significance in the Era of Generative AI	Shashi Kumar Nagulakonda	2023-27-10

GPU Computing and Its Significance in the Era of Generative AI

Here is a comprehensive blog post on GPU computing and its significance in the era of generative AI:

GPU Computing and Its Significance in the Era of Generative AI

	# required by (\ SHELL COMMANDS \)
	SHELL:=/bin/bash

	VIRT_ENV_FOLDER = ~/.local/share/virtualenvs/xnli
	SOURCE_VIRT_ENV = source $(VIRT_ENV_FOLDER)/bin/activate


	.PHONY: train
	train:
	( \

	function ConvertFrom-SafeLinksURL
	{
	<#
	.SYNOPSIS
	Decode a ATP SafeLinks URL

	.DESCRIPTION
	Decode a Office 365 Advanced Threat Protection SafeLinks URL

	.PARAMETER SafeLinksURL

	import openai
	import streamlit as st
	from streamlit_chat import message
	from dotenv import load_dotenv
	import os
	from langchain.embeddings.openai import OpenAIEmbeddings
	from langchain.vectorstores import Chroma
	import openai
	from langchain.document_loaders import UnstructuredMarkdownLoader
	from langchain.chains.question_answering import load_qa_chain

	"""

	The code below combines approaches published by both @eugene-yh and @jinyongyoo on Github.

	Thanks for the contributions guys!

	"""

	import torch
	import peft

	import requests
	import json
	import gradio as gr

	url = "http://localhost:11434/api/generate"

	headers = {
	'Content-Type': 'application/json',
	}