Last updated on February 3, 2026 by Editorial Team
Author(s): Tanveer Mustafa
Originally published on Towards AI.
From chaos to intelligence: how AI training really works
Understanding the basic process of training large language models from scratch
This article discusses the complex process of training large language models, explaining how a language model learns from raw data and transforms randomness into structured knowledge through various steps, including data preparation, model initialization, and iterative training loops. It highlights the statistical learning principles that underpin this transformational process and emphasizes the importance of having vast amounts of data to develop an understanding of the language of a model.
Read the entire blog for free on Medium.
Published via Towards AI
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Comment: The content represents the views of the contributing authors and not those of AI.
