Decoding the Large Language Models
Discovering LLM Structures: Decoder-only, Encoder-only, or Decoder-Encoder
Explore Transformer models’ rise in NLP, from their foundational architecture to their prowess in tasks like summarization and translation.
Language models have, for decades, been the linchpin in the evolution of Natural Language Processing (NLP). They have enabled computers to mimic human-like text comprehension, ushering in a paradigm shift in how machines understand and generate language. This article delves deep into the most revolutionary among them: the Transformer models, exploring their architecture and their impact on diverse NLP tasks.
Before starting, if you want to learn more about generative AI, I suggest checking out my other posts using the below list:
Now, let’s get started!
Transformers: Revolutionizing the Realm of NLP
In 2017, an academic paper titled “Attention Is All You Need,” authored by Vaswani and team, made waves…
