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1. Introduction: The Epistemic Crisis in Generative Models The trajectory of Large Language Models (LLMs) has been defined by a relentless pursuit of scale. By ingesting petabytes of text and Read More …
The Imperative of Model Evaluation in the Machine Learning Lifecycle The development of a machine learning (ML) model is an iterative process that extends far beyond the initial training phase. Read More …
Executive Summary This report provides a comprehensive technical and strategic analysis of machine learning model evaluation and performance measurement. It moves beyond superficial definitions of common metrics to establish a Read More …