Professor Codephreak

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Professor Codephreak Software Engineer Machine Learning Platform Architect

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SimpleMind

SimpleMind: A Neural Network Implementation in JAX

The SimpleMind class is a powerful yet straightforward implementation of a neural network in JAX. It supports various activation functions, optimizers, and regularization techniques, making it versatile for different machine learning tasks. With parallel backpropagation and detailed logging, it provides an efficient and transparent framework for neural network training.

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general framework overview of AGI as a System

Overview This document provides a comprehensive general explanation of an Augmented General Intelligence (AGI) system framework integrating advanced cognitive architecture, neural networks, natural language processing, multi-modal sensory integration, agent-based architecture with swarm intelligence, retrieval augmented generative engines, continuous learning mechanisms, ethical considerations, and adaptive and scalable frameworks. The system is designed to process input data, generate responses, capture and process visual frames, train neural networks, engage in continuous learning, make ethical decisions, and adapt to […]

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Socratic Reasoning

Understanding SocraticReasoning.py

understandin the ezAGI framework requires a fundamental comprehension of reasoning with SocraticReasoning.py disclaimer: ezAGI fundamental Augmented Generative Intelligence may or not be be fun. use at own risk. breaking changes version 1 To fully audit the behavior of how the premise field is populated in the SocraticReasoning class, we will: SocraticReasoning.py Audit Initialization and setup of SocraticReasoning class Adding Premises Programmatically Adding Premises Interactively Now, let’s look at the interactive part of the interact method: […]

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