Professor Codephreak

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Professor Codephreak Software Engineer Machine Learning Platform Architect

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Chain of TRUST in LLM

https://galadriel.com/ In the realm of artificial intelligence, verifying that an AI response genuinely came from a specific model and wasn’t tampered with presents a significant challenge. The Chain of Trust in verified AI inference provides a robust solution through multiple layers of security and cryptographic proof. The Foundation: Trusted Execution Environment (TEE) At the core of verified inference lies the Trusted Execution Environment (TEE), specifically AWS Nitro Enclaves. This hardware-isolated environment provides a critical security […]

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fundamental AGI

putting the fun into a fundamental augmented general intelligence framework as funAGI funAGI is a development branch of easyAGI. easyAGI was not being easy and SimpleMind neural network was proving to not be simple. For that reason is was necessary to remove reasoning.py and take easyAGI back to its roots of BDI Socratic Reasoning from belief, desire and intention. So this back to basics release should be taken as a verbose logging audit of SocraticReasoning […]

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easyAGI: Augmenting the Intelligence of Large Language Models

easy augmented general intelligence In the rapidly evolving field of artificial intelligence, the concept of Autonomous General Intelligence (AGI) represents a significant milestone. However, the journey towards AGI is complex and requires innovative approaches to streamline and simplify the development process. Enter easyAGI, a transformative framework designed to augment the intelligence of existing Large Language Models (LLMs). This article explores the core aspects of easyAGI and its impact on the landscape of AGI and LLMs. […]

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