_AugmentedIntelligence Alpha Release

Hello everyone this is an alpha release of _AugmentedIntelligence. There is a lot to talk about so lets start with the features in this release:

_AugmentedIntelligence General Client Setup and Recommendations

_AugmentedIntelligence Tackling NLU

NLP or Natural Language Processing or Computational Linguistics has been around since the 1980s and has roared back in the past few years with the NLP moniker. LLMs known as Large Language Models have appeared on the scene from companies like Google and OpenAI leading to NLP. The idea is to train a neural network and a model to simply generate and understand user inputs from a text prompt. Here are a few examples of what they can do. The examples are of generating text. This model can also produce C++ code from instructions as a text prompt! This development is extreme leap forward in Computer Science and is a game changer in schools.

The goal of natural language processing (NLP) is to design and build computer systems that are able to analyze natural languages like German or English, and that generate their outputs in a natural language, too. Typical applications of NLP are information retrieval, language understanding, and text classification.

I started from my ability as a child to read and write as my skills evolved I was confident in a decade or so this would be possible to write and find the next word in the sentence or paragraph and my completed papers. Regardless, I was presented with a task and have found solutions to NLP problems but the understanding eludes me. First we have lots and lots of data that is accessible on the internet like Wikipedia and Wiktionary. This task is not as simple as pairing word vectors to their labeled word counterparts, the words must be disambiguated. This processes is called Word-Sense Disambiguation. Without labeled data from Wikipedia I created a piece of software called a ManualPOSTagger or a Manual Part of Speech Tagger. This software is simple. The users enters an article from Wikipedia and prompts the user for labels like the word type, special word type. if a word is part of a grammatical object and what type of sentence it is in.

The document you are writing must also make sense as in, is it formatted correctly, reads well, and semantically correct.

In order for one to understand any word one comes across there are a few things to take note of. First the word must work in a brain. Meaning pictures, diagrams and other words with grammar trees. The computer will work entirely with word vectors and the words will be matched in the database.

_AugmentedIntelligence Dictionary SQL

Hello, here is a dictionary for _AI. Includes lists for each word type, GloVe Vectors, and word vectors trained from Wikipedia included in the dictionary.
Download Link: http://macdaddy4sure.com/Downloads/Dictionary.zip

_AugmentedIntelligence Bible_KJV.sql

Here is the Bible written in the original translation by King James of England, in SQL format.
Download Link: http://macdaddy4sure.com/Downloads/Bible_KJV.zip

P.S. I will post some example retrieve functions in C++ and Python.

_AugmentedIntelligence StackExchange2SQL

I invented a way to parse StackExchange.com from their Data Dumps.
Download Link: https://github.com/Macdaddy4sure/StackExchange2MySQL

_AugmentedIntelligence Reddit2SQL

I invented a way to parse Reddit.com from their Data Dumps.
Download Link: https://github.com/Macdaddy4sure/Reddit2SQL

_AugmentedIntelligence WikiMedia Dumps2SQL

I have written a WikiMedia program for parsing dumps from the like of: Wikipedia, Wiktionary, WikiSimple, WikiHow, etc.
Download Link: https://github.com/Macdaddy4sure/WikipediaParser3
1. Install MySQL if you have not installed already.
1. Go to https://www.mysql.com/downloads/
2. Download the community version of MySQL
3. After the executable has been downloaded; execute it.
4. Install the community installer and the most recent version of MySQL server. Note: I would recommend installing the Visual Studio C++ Connector if you plan to edit or mod the source of _AugmentedIntelligence or if you wish to use your own or third party software.
5. Make sure MySQL Server is installed as a service.
2. Download a Wikia Dump from https://dumps.wikimedia.org/backup-index.html
3. Download 7-zip if you have not installed it already.
1. Go to https://www.7-zip.org/download.html
2. I recommend downloading the 64-bit Windows Executable file (64-bit Windows x64)
3. After the executable has been downloaded, install it
4. Extract the Wikia dump XML file from the archive.
5. Download the following PowerShell tool for extracting the dump.
1. Open PowerShell as an administrator.
2. Run the following: Install-Script Split-Wikipedia -Scope CurrentUser
3. Close PowerShell and launch it again as an administrator.
4. In PowerShell Prompt type: Split-Wikipedia -Path ./enwiki-latest-pages-articles.xml
5. This process will take a number of hours.
6. The articles are saved to ./articles
6. Download and install Git
1. If you have not installed git; Go to:https://git-scm.com/download/win
2. Download and install git.
3. Open Advanced System Settings by right clicking on This PC and left clicking on Properties.
4. Click on Environment Variables.
5. Under the Path variable, paste the installation path or bin directory of git.
6. Save and close Environment Variables.
7. Download or Clone the repository
1. Go to: https://github.com/Macdaddy4sure/WikipediaParser3
2. Click on the green button toward the top right of the page.
3. Copy the text URL inside the menu.
4. Open Command Prompt and navigate to the directory you would like to store the source and executable for Wikipedia Parser.
5. Type in the prompt: git clone https://github.com/Macdaddy4sure/WikipediaParser3.git
8. Use DirectoryUpLevel.exe to move all files inside of ./articles to another directory.
1. DirectoryUpLevel.exe is located inside the x64 directory under the cloned repository.
2. Open DirectoryUpLevel.exe and type in the path to the articles directory.
3. I recommend creating a directory on the same level as the articles directory and call it ./Done.
4. Enter that directory into the second prompt in DirectoriesUpLevel.
5. Press enter and the process will be executed.
9. Open Command Prompt and Create a new database inside of MySQL for the Wiki you are uploading.
10. Open WikipediaParser3 and configure the program.
1. Open WikipediaParser3
2. Press 0 (Zero) and press enter to open the settings menu.
3. Use the options in the menu to configure the program.
11. Option 5. The Wiki Dump location should be the directory of the “Done” folder.
1. Make sure all of the forward slashes are forward slashes (/).
12. Press 0 to return to the main menu.
13. Press 1 to start the process.[/code]

_AugmentedIntelligence Alpha Release

Hello everyone this is an alpha release of _AugmentedIntelligence. There is a lot to talk about so lets start with the features in this release: