Emerce: Natural Language Processing: GPT-3 and Other Progress

Computers are now capable of understanding human-written text to the extent that they can fully grasp the meanings and autonomously rewrite them; recent advancements indicate that this is no longer just a dream, but a reality.

Natural Language Processing (NLP) is an area focused exclusively on the relationship between computers and language. With the help of Data Science and AI, NLP algorithms have the capability to analyze texts to extract information, which can then be utilized by these algorithms to produce their own comprehensive texts.

NLP as a discipline has existed for over 60 years. In recent decades, advancements have accelerated significantly due to the application of neural networks and Big Data. Additionally, Deep Learning has become foundational for innovations across various AI-related domains.

The most recent breakthrough is represented by the GPT-3 model (Generative Pre-trained Transformer), a robust model featuring over 175 billion parameters, created by OpenAI. GPT-3 introduces a host of new, thrilling, and innovative functionalities. For instance, it can generate coherent responses to human political arguments without prior examples, a capability known as “zero-shot training,” showcasing GPT-3’s enhanced understanding of language.

In summary, GPT-3 paves the way for numerous new opportunities, including those for Squadra Machine Learning Company. Interested in exploring the full potential of GPT-3? Read the complete article on Emerce  (in Dutch).