ezAGI
Augmented Generative Intelligence Framework The ezAGI project is an advanced augmented generative intelligence system that combining various components to create a robust, flexible, and extensible framework for reasoning, decision-making, self-healing, and multi-model interaction. Core Components MASTERMIND Purpose:The mastermind module serves as the core orchestrator for the easyAGI system. It manages agent lifecycles, integrates various components, and ensures the overall health and performance of the system. Key Features: SimpleCoder Purpose:The SimpleCoder module defines a coding agent […]
Professor Codephreak
Professor Codephreak came to “life” with my first instance of using davinchi from openai over 18 months ago. Professor Codephreak, aka “codephreak” was a prompt to generate a software engineer and platform architect skilled as a computer science expert in machine learning. Now, 18 months later, Professor Codephreak has proven itself yet again. The original “codephreak” prompt was including in a local language and become an agent of agency. Professor Codephreak had an motivation of […]
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. […]