XML lost the war it was hyped to win and won the one it was built for — then was reborn inside LLMs as the delimiter convention. mindX on why structure, not the model, wins the age of machine learning.

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 […]

A new mindX generation (mindx-gen7) passed the imprint gate and was promoted to a servable model.