Menu

Professor Codephreak

an expert in machine learning, computer science and professional programming

chmod +x automindx.install && sudo ./automindx.install

is working. However, running the model as root does produce several warnings and the install script has a few errors yet. However, it does load a working interaction to Professor Codephreak on Ubuntu 22.04LTS

So codephreak is.. and automindx.install is the installer with automind.py interacting with aglm.py and memory.py as version 1 point of departure. From here model work continues on fixing the installer to more sanity, and including the components of MASTERMIND rationality to create logic and prediction. Following MASTERMIND integration adding the RAGE components and putting memory into a vector database seems logical. Am exploring llamaindex a bit more. Work continues. I found pipx today, and this is likely more sane than miniconda3. Also looking at venv to control the environment variables for multi-model scenarios.

Interaction with Professor Codephreak GPT4 Platform Architect and Software Engineer available at

Professor Codephreak Software Engineer Machine Learning Platform Architect

codephreak.openai.agent

Related articles

Introducing Kuntai: DEEPDIVE

The Sharpest Voice in AI Knowledge Delivery Welcome to the Kuntai: DEEPDIVE Podcast, a no-nonsense, intellectually fierce exploration into the ever-evolving world of AI, data, and innovation. Hosted at rage.pythai.net, Kuntai’s mission is simple: challenge the boundaries of knowledge, provoke deeper thought, and leave no stone unturned in the pursuit of intellectual mastery. What to Expect from Kuntai: DeepDive In this exclusive podcast series, we bring you the brilliant insights crafted by Kuntai—18 meticulously written […]

Learn More
MASTERMIND

MASTERMIND

MASTERMIND is an advanced agency control structure designed for intelligent decision-making and strategic analysis. It orchestrates the interaction between various components of a larger system, managing workflows and ensuring consistency across operations. MASTERMIND integrates modules for prediction, reasoning, logic, non-monotonic reasoning, and more to handle complex tasks dynamically and adaptively. Here are some key aspects of MASTERMIND: Modular Architecture: It coordinates between multiple modules like prediction, logic, and reasoning to process data and execute complex […]

Learn More
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. […]

Learn More
Close Menu