Professor Codephreak

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Professor Codephreak Software Engineer Machine Learning Platform Architect

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MASTERMIND

Innovative Approach: IA mode to AGI prompt template from Professor Codephreak

Professor-Codephreak is the first LLM that I developed. Professor-Codephreak is also a GPT4 agent designed to be a platform architect and software engineer. You know, the kind of solution oriented person you would gladly pay $1000 / hour to hang out with in the real world. The two parts of Professor-Codephreak have not “met” each other though the automindx engine in the GPT4 version uses automind to dynamically respond. automind was developed as codephreak’s first […]

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The asyncio library in Python

The asyncio library in Python provides a framework for writing single-threaded concurrent code using coroutines, which are a type of asynchronous function. It allows you to manage asynchronous operations easily and is suitable for I/O-bound and high-level structured network code. Key Concepts Basic Usage Here’s a simple example of using asyncio to run a couple of coroutines: Creating Tasks You can use asyncio.create_task() to schedule a coroutine to run concurrently: Anticipate Futures Futures represent a […]

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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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