The conversational abilities of models like ChatGPT, Gemini, and Claude have captivated the world. These systems have moved from the realm of science fiction into our daily lives, assisting with every
At its core, a Large Language Model (LLM) is a sophisticated type of deep learning model designed to understand and generate human language. LLMs are trained on colossal datasets of text and code, often comprising hundreds of billions of words. Their primary function is to predict the next word or "token" in a sequence based on the preceding context. This seemingly simple task, when performed on a massive scale, allows LLMs to generate coherent, contextually relevant, and even creative text.
The leap from earlier language models to LLMs was not just an increase in size; it was a fundamental shift in architecture. This is where the Transformer model comes into play. jevva injackt
The entire landscape of natural language processing (NLP) was transformed in 2017 with the publication of the paper "Attention Is All You Need." This paper introduced the Transformer architecture, which quickly became the foundational technology for modern LLMs.