LLMs
LLMs are the next evolutionary step after transformers in the world of NLP. They’re not just beefed-up older models; they represent a quantum leap. These models can handle vast amounts of text data and perform tasks previously thought to be reserved for human minds.
Simply put, LLMs can produce text, answer questions, and even code. Picture chatting with software and it replying just like a human, catching subtle hints and recalling earlier parts of the conversation. That’s what LLMs offer.
Language models (LMs) have always been the backbone of NLP, helping in tasks ranging from machine translation to more modern tasks like text classification. While the early LMs relied on RNNs and Long Short-Term Memory (LSTM) structures, today’s NLP achievements are primarily due to deep learning techniques, especially transformers.
The hallmark of LLMs? Their capacity to read and learn from vast quantities of text. Training one from scratch is a serious undertaking...
