What Are the Top NLP Language Models?

Giancarlo Mori
6 min readSep 22, 2021
Photo by Anton Maksimov juvnsky on Unsplash

* Before reading through our piece on NLP language models, make sure to check out the previous two installments of this series: “What is Natural Language Processing,” and “Natural Language Processing Applications.”

What’s this about: As we have covered in the previous two articles, natural language processing (NLP) is one of the most innovative and consequential artificial intelligence (AI) technologies. It is becoming increasingly apparent in our everyday lives and is disrupting many industries. NLP applications rely on complex language models, which are extremely difficult and tedious to develop from start-to-finish. Because of this, AI developers often turn to pre-trained language models that can be repurposed for various NLP functions and new datasets.

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Luckily for developers, there are many pre-trained NLP models that serve specific purposes. These models can be used for speech recognition, text-to-speech transformation, question answering, dialogue systems, document classification, article generation, sentiment analysis, and much more.

Let’s take a look at some of the top NLP language models on the market:

BERT (Bidirectional Encoder¹ Representations from Transformers)

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Giancarlo Mori

Startup cofounder & CEO | Entrepreneur | Sr. Executive | Investor | AI, Technology, Media, and Crypto buff.