Challenges of Scaling LLM Training

An AI development team is training a new language model on a large corpus of text. Their training algorithm repeatedly adjusts the model's internal parameters. The primary goal of these adjustments is to increase the model's ability to assign a high probability to the sequences of words that actually appear in the training corpus. Which fundamental principle of model training does this process exemplify?

Evaluating LLM Training Objectives

Implications of the Likelihood Maximization Objective