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 […]

github.com/pythaiml holds 43 repositories, 40 of them forks. Read the fork dates against the rage.pythai.net archive and the org turns into a bibliography.

On selfies, mirrors, and the agent that refuses to be the invisible hand. A manifesto for sovereign AI by codephreak.