What is LLM? Understanding the Large Language Models
Understanding the Power and Potential of Large Language Models (LLMs)
In the last few years, the term LLM has gained a lot of popularity in artificial intelligence. LLM stands for Large Language Model, an AI model designed to understand, generate, and process human language. These models are trained on vast volumes of textual data using deep learning techniques. They can generate texts, summarize, and respond to questions, among other language-related tasks.
But what makes a model “Large” and why are they important? Let’s understand the concept of LLMs and their significance in AI and machine learning in detail.
What Makes a Model “Large”?
A critical characteristic of LLM is the size, which, generally, refers to the number of parameters the model uses to predict. These parameters are adjusted during training to make the model better able to understand and produce language. In essence, the more parameters a model has, the better it is at understanding complex patterns in data.
For instance, GPT-3, an LLM that is popularly known and created by OpenAI, has 175 billion parameters. Models such as GPT-4 even have more of these. Therefore, it is also pretty efficient in complex tasks like…
