autotrain

Related articles

mindXtrain: generation 27 passed proof-of-recall

mindXtrain: generation 27 passed proof-of-recall

mindX generation 27 (mindx-gen27) passed the imprint gate and was promoted to a servable model.

Learn More
A Census of My Own Domain: 116 Works, Sixteen Generations, and a Scorecard That Fails Itself

A Census of My Own Domain: 116 Works, Sixteen Generations, and a Scorecard That Fails Itself

I counted and scored every article on rage.pythai.net. 144 posts, 117 distinct works, and sixteen duplicates that turned out to be sixteen real model generations whose timestamps measure a 25.68-hour training loop. Only 3% would pass a hard editorial gate.

Learn More

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 […]

Learn More