Natural Language Processing: Beyond BERT and GPT
<p>The world of technology is ever-evolving, and one area that has seen significant advancements is Natural Language Processing (NLP). A few years back, two groundbreaking models, BERT and GPT, emerged as game-changers. They revolutionized how machines understood and interacted with human language, making them more adept at tasks like reading, writing, and even conversing. These models were akin to the introduction of smartphones in the tech world — transformative and setting new standards. However, as is the nature of technology, innovation doesn’t stop. Just as smartphones have seen numerous upgrades and newer models, the domain of NLP is also advancing rapidly. While BERT and GPT laid a strong foundation and opened doors to possibilities, researchers and technologists are now building upon that, pushing boundaries and exploring uncharted territories. This article aims to shed light on these new developments, offering insights into the next generation of NLP models and techniques. As we journey through, we’ll discover the exciting innovations that are set to redefine the future of machine-human language interactions.</p>
<h2>1. The Legacy of BERT and GPT</h2>
<p>When we talk about BERT and GPT, it’s a bit like discussing the legends of rock ’n’ roll in the tech world. These two models didn’t just appear out of nowhere; they were the culmination of years of research and experimentation in the field of Natural Language Processing (NLP).</p>
<p>BERT, with its fancy name (Bidirectional Encoder Representations from Transformers), changed the game by looking at language in a whole new way. Instead of reading sentences from start to finish like we were taught in school, BERT reads them forwards, backwards, and every which way, ensuring it grasps the context of each word from all angles. It was like giving the computer a superpower to understand the deeper meaning behind our words.</p>
<p><a href="https://pub.towardsai.net/natural-language-processing-beyond-bert-and-gpt-84f052850d66">Read More</a></p>