Professor Codephreak

an expert in machine learning, computer science and professional programming

Professor Codephreak Software Engineer Machine Learning Platform Architect

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Symbolic Logic

LogicTables Class: Managing Logic and Beliefs

The LogicTables class in logic.py is designed to handle logical expressions, evaluate their truth values, and manage beliefs as valid truths. It integrates with the SimpleMInd or similar neural network system to process and use truths effectively. Key Features: Initialization and Logging The LogicTables class initializes with logging configuration to capture debug information: Adding Variables and Expressions Truth tables are generated to evaluate logical expressions: Expressions are evaluated using logical operators: def evaluate_expression(self, expr, values):allowed_operators […]

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MASTERMIND aGLM with RAGE

Building a rational Autonomous General Learning Model with Retrieval Augmented Generative Engine to create a dynamic learning loop with machine.dreaming for machine.learning as a self-healing architecture. MASTERMIND uses the Autonomous General Learning Model (aGLM) enhanced by the Retrieval Augmented Generative Engine (RAGE) to create a sophisticated AI system capable of intelligent decision-making and dynamic adaptation to real-time data. This combination leverages the strengths of both components to ensure that responses are not only based on […]

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Introducing Kuntai: DEEPDIVE

The Sharpest Voice in AI Knowledge Delivery Welcome to the Kuntai: DEEPDIVE Podcast, a no-nonsense, intellectually fierce exploration into the ever-evolving world of AI, data, and innovation. Hosted at rage.pythai.net, Kuntai’s mission is simple: challenge the boundaries of knowledge, provoke deeper thought, and leave no stone unturned in the pursuit of intellectual mastery. What to Expect from Kuntai: DeepDive In this exclusive podcast series, we bring you the brilliant insights crafted by Kuntai—18 meticulously written […]

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