MASTERMIND

MASTERMIND

MASTERMIND documentation on the blockchain

Related articles

mindXtrain: generation 38 passed proof-of-recall

mindXtrain: generation 38 passed proof-of-recall

mindX generation 38 (mindx-gen38) passed the imprint gate and was promoted to a servable model.

Learn More
AGInt: the cognitive engine at the heart of mindX — Perception, Orientation, Decision, Action, with RAGE for memory

AGInt: the cognitive engine at the heart of mindX — Perception, Orientation, Decision, Action, with RAGE for memory

Why /core matters, how the P-O-D-A loop connects beliefs to behavior, and the four-tier RAGE memory cascade (STM → LTM → pgvector → IPFS) that keeps the deliberation layer grounded.

Learn More

production_transformer.py

The Transformer architecture is a type of neural network that has advanced natural language processing (NLP) tasks while recently being applied to various other domains including time series prediction. Here’s a detailed look at its key components and how they function: Key Components of Transformer Architecture: How Transformers Work for Financial Forecasting: Practical Considerations: In summary, the Transformer architecture is particularly well-suited for tasks where understanding the relationship between elements of a sequence is crucial, […]

Learn More