MASTERMIND

MASTERMIND

MASTERMIND documentation on the blockchain

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SimpleMind

SimpleMind: A Neural Network Implementation in JAX

The SimpleMind class is a powerful yet straightforward implementation of a neural network in JAX. It supports various activation functions, optimizers, and regularization techniques, making it versatile for different machine learning tasks. With parallel backpropagation and detailed logging, it provides an efficient and transparent framework for neural network training.

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RAGE for LLM as a Tool to Create Reasoning Agents as MASTERMIND

Introduction: article created as first test of GPT-RESEARCHER as a research tool The integration of Retrieval-Augmented Generative Engine (RAGE) with Large Language Models (LLMs) represents a significant advancement in the field of artificial intelligence, particularly in enhancing the reasoning capabilities of these models. This report delves into the application of RAGE in transforming LLMs into sophisticated reasoning agents, akin to a “MASTERMIND,” capable of strategic reasoning and intelligent decision-making. The focus is on how RAG […]

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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 […]

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