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Showing posts with the label language models n-grams

The Evolution of Language Models: From N-Grams to GPT-3

 Language Models: From N-Grams to GPT-3 - A Journey of Advancements Introduction Language models have come a long way, transforming the world of natural language processing and enabling remarkable advancements in various fields. From the early days of simple n-grams to the groundbreaking transformer-based models like GPT-3, this blog will take you on a journey through the development of language models. Whether you're a beginner curious about the fundamentals or someone looking to understand the state-of-the-art models better, this article aims to demystify the evolution of language models. 1. The Beginnings: N-Gram Models Understanding N-Grams in Natural Language Processing N-grams are a fundamental concept in natural language processing (NLP) and are used to analyze and model text data. They are a sequence of 'n' items, where an item can be a word, character, or any other unit of text depending on the context. N-grams are widely used for tasks such as language modeling, t...