MASTERMIND

MASTERMIND

MASTERMIND documentation on the blockchain

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aGLM

aGLM, or Autonomous General Learning Model, is designed to operate as a core model for autonomous data parsing and learning from memory in the context of artificial intelligence systems. It’s a pivotal element within a broader system called RAGE (Retrieval Augmented Generative Engine). Key aspects and functionalities of aGLM: Autonomous Learning: aGLM is built to learn autonomously from interactions and data retrievals. It continuously updates its knowledge base, refining its capabilities based on new data […]

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mindXtrain Day 1 — Why MI300X for Sovereign Cognition

Day 1 of the AMD × lablab.ai Developer Hackathon. Today the scaffolding goes up: mindXtrain, a one-command Qwen3 fine-tuner native to AMD MI300X. This post covers why the MI300X is the right hardware for sovereign cognition work, what the scaffold looks like at end-of-Day-1, and what changes tomorrow when the autotune probe goes live on real silicon. 1. Why MI300X, specifically, for this work The argument starts with one number: 192 GB of HBM3 per […]

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Socratic Reasoning

Understanding SocraticReasoning.py

understandin the ezAGI framework requires a fundamental comprehension of reasoning with SocraticReasoning.py disclaimer: ezAGI fundamental Augmented Generative Intelligence may or not be be fun. use at own risk. breaking changes version 1 To fully audit the behavior of how the premise field is populated in the SocraticReasoning class, we will: SocraticReasoning.py Audit Initialization and setup of SocraticReasoning class Adding Premises Programmatically Adding Premises Interactively Now, let’s look at the interactive part of the interact method: […]

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