Brief History of LLMs – insideBIGDATA

By Matt Casey, Snorkel AI

Large language models (LLMs) have fascinated the public and upended data team priorities since ChatGPT arrived in November 2022. While the roots of technology stretch further into the past than you might think—all the way to the 1950s, when researchers at IBM and Georgetown University developed a system to automatically translate a collection of phrases from Russian to English—the modern age of large language models began only a few years ago.

The early days of natural language processing saw researchers experiment with many different approaches, including conceptual ontologies and rule-based systems. While some of these methods proved narrowly useful, none yielded robust results. That changed in the 2010s when NLP research intersected with the then-bustling field of neural networks. The collision laid the ground for the first large language models.

This post, adapted and excerpted from one on Snorkel.ai entitled “Large language models: their history,…

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