The MASTERMIND system is a sophisticated component of the broader AI infrastructure, designed to serve as an agency control structure with advanced reasoning capabilities. Here’s a detailed overview of its functionalities and role within an AI framework: System Coordination and Workflow Management: MASTERMIND orchestrates interactions between various components within an AI system, managing the overall workflow and ensuring that all parts function cohesively. It initializes the system, sets up the environment, and coordinates data processing […]

aGLM, or Autonomous General Learning Model, is a sophisticated machine learning model that integrates aspects of both supervised and unsupervised learning to analyze and interpret data across various applications like natural language processing, image recognition, and financial forecasting. This model is designed to efficiently handle large volumes of data and is particularly effective as a foundational tool for building more complex models. Key features of aGLM include: Dynamic Learning: aGLM can process and learn from […]

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. […]