MASTERMIND

MASTERMIND

MASTERMIND documentation on the blockchain

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fundamentalAGI

FundamentalAGI Blueprint

funAGI Objective: Develop a comprehensive Autonomous General Intelligence (AGI) system named FundamentalAGI (funAGI). This system integrates various advanced AI components to achieve autonomous general intelligence, leveraging multiple frameworks, real-time data processing, advanced reasoning, and a sophisticated memory system. Design will be modular for dynamic adaptation using modern object oriented programming technique primary in the Python language. Components of funAGI: the big picture Detailed Architecture and Implementation Plan 1. Cognitive Architecture 2. Multi-Modal and Multi-Model Integration […]

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together ai

aGLM MASTERMIND RAGE Mixtral8x7B playground 1

together.ai provides a cloud environment playground for a number of LLM including Mixtral8x7Bv1. This model was chosen for the 32k ++ context window and suitable point of departure dataset for deployment of aGLM Autonomous General Learning Model. aGLM design goals include RAGE with MASTERMIND controller for logic and reasoning. The following three screenshots show the first use of aGLM recognising aGLM and MASTERMIND RAGE components to include machine.dreaming and knowledge as THOT from aGLM parse. […]

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Autonomous Generative Intelligence Framework

Autonomous General Intelligence (AGI) framework

As we celebrate the establishment of the easy Autonomous General Intelligence (AGI) framework, it’s essential to appreciate the intricate steps that transform a user’s input into a well-reasoned response. This article provides a verbose detailing of this entire workflow, highlighting each component’s role and interaction. Let’s delve into the journey from user input to the final output. Stage one is nearly complete. reasoning from logic. 1000 versions later. This is the basic framework so far. […]

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