Menu

Professor Codephreak

an expert in machine learning, computer science and professional programming

chmod +x automindx.install && sudo ./automindx.install

is working. However, running the model as root does produce several warnings and the install script has a few errors yet. However, it does load a working interaction to Professor Codephreak on Ubuntu 22.04LTS

So codephreak is.. and automindx.install is the installer with automind.py interacting with aglm.py and memory.py as version 1 point of departure. From here model work continues on fixing the installer to more sanity, and including the components of MASTERMIND rationality to create logic and prediction. Following MASTERMIND integration adding the RAGE components and putting memory into a vector database seems logical. Am exploring llamaindex a bit more. Work continues. I found pipx today, and this is likely more sane than miniconda3. Also looking at venv to control the environment variables for multi-model scenarios.

Interaction with Professor Codephreak GPT4 Platform Architect and Software Engineer available at

Professor Codephreak Software Engineer Machine Learning Platform Architect

codephreak.openai.agent

Related articles

RAGE for LLM as a Tool to Create Reasoning Agents as MASTERMIND

Introduction: article created as first test of GPT-RESEARCHER as a research tool The integration of Retrieval-Augmented Generative Engine (RAGE) with Large Language Models (LLMs) represents a significant advancement in the field of artificial intelligence, particularly in enhancing the reasoning capabilities of these models. This report delves into the application of RAGE in transforming LLMs into sophisticated reasoning agents, akin to a “MASTERMIND,” capable of strategic reasoning and intelligent decision-making. The focus is on how RAG […]

Learn More
SimpleMind

blueprint for a SimpleMind Using easyAGI

Abstract: This article conceptualizes the creation of an advanced Autonomous General Intelligence (AGI) system, named “easyAGI,” integrating several cutting-edge AI components. Theoretical in nature, this blueprint outlines the essential modules required to construct such a system, emphasizing the principles behind each component without delving into implementation specifics. Introduction: The pursuit of AGI aims to create a machine capable of understanding, learning, and performing intellectual tasks across various domains, akin to human cognitive abilities. The easyAGI […]

Learn More
you are?

LogicTables Module Documentation

Overview The LogicTables module is designed to handle logical expressions, variables, and truth tables. It provides functionality to evaluate logical expressions, generate truth tables, and validate logical statements. The module also includes logging mechanisms to capture various events and errors, ensuring that all operations are traceable. Class LogicTables Attributes

Learn More
Close Menu